Introducing ENMAT V2 Beta
•
0 likes•285 views
Introducing ENMAT V2 Beta ENMAT (Energy Monitoring & Targeting) is a web based Energy Monitoring and Targeting system. It presents energy management data in a way that is relevant, meaningful and useful to users.
Report
Share
Report
Share
Recommended
ORGANIC USER INTERFACES: FRAMEWORK, INTERACTION MODEL AND DESIGN GUIDELINES
The document proposes an organic user interface (OUI) framework and interaction model called SMaG (Speech Manipulation air-Gesture).
It divides the control module of the tangible user interface framework into tangible and intangible controls. Tangible controls involve direct contact like touch, while intangible controls include speech and gestures.
The paper then introduces the SMaG model, which categorizes OUI input techniques. Based on this model, the paper provides design guidelines for OUIs with principles for look, feel, and design. The guidelines consider the best and worst uses of each SMaG technique.
Multi-Robot Sensor Relocation to Enhance Connectivity in a WSN
Ensuring connectivity in Wireless Sensor Networks (WSN) is a challenging issue, especially in hazardous
areas (like battlefield). Many applications of WSN require an important level of connectivity in the network
to detect a given event (like detection Intrusion) and forward it to the ”sink” node in order to alert users.
For these risky areas the deterministic deployment is not usually guaranteed and the network is composed
by a set of disconnected Islands. We present in our work two strategies to relocate sensors in order to
improve the connectivity using mobile Robots. These two solutions are called Multi-Robot Island-based
Relocation (MRIBR) and Multi-Robot Grid-Based Island-based Relocation (MRGIR). Through several
simulations, we show that MRGIR outperforms MRIBR. Our study can be used especially to make a tradeoff
between the number of deployed sensors and the numbers of the used mobile robots, according to the
quality needed for the application.
COMMUNITY DETECTION USING INTER CONTACT TIME AND SOCIAL CHARACTERISTICS BASED...
Delay Tolerant Networks (DTNs) where the node connectivity is opportunistic and end-to-end path between
any pair of source and destination is not guaranteed most of the time. Hence the messages are transferred
from source to destination via intermediate nodes on hop to hop basis using store-carry-forward paradigm.
Due to quick advancement in hand held devices such as smart phone and laptop with support of wireless
communication interface carried by human being, it is possible in coming days to use DTNs for message
dissemination without setting up infrastructure. The routing task becomes challenging in DTNs due to
intermittent network connectivity and the connection opportunity arises only when node comes in
transmission range of each other. The performance of the routing protocols depend on the selection of
appropriate relay node which can deliver the message to final destination in case of source and destination
do not meet at all. Many social characteristics are exhibited by the human being like friendship,
community, similarity and centrality which can be exploited by the routing protocol in order to take the
forwarding decisions. Literature shows that by using these characteristics, the performance of DTN routing
protocols have been improved in terms of delivery probability. The existing routing schemes used
community detection using aggregated contact duration and contact frequency which does not change over
the time period. We propose community detection through Inter Contact Time (ICT) between node pair
using power law distribution where the members of community are added and removed dynamically. We
also considered single copy of each message in entire network to reduce the network overhead. The
proposed routing protocol named Social Based Single Copy Routing (SBSCR) selects the suitable relay
node from the community members only based on the social metrics such as similarity and friendship
together. ICTs show power law nature in human mobility which is used to detect the community structure at
each node. A node maintains its own community and social metrics such as similarity and friendship with
other nodes. Whenever node has to select the relay node then it selects from its community with higher
value of social metric. The simulations are conducted using ONE simulator on the real traces of campus
and conference environments. SBSCR is compared with existing schemes and results show that it
outperforms in terms of delivery probability and delivery delay with comparable overhead ratio.
REVIEW OVER HOLE HEALING TECHNIQUES IN WIRELESS SENSOR NETWORKS
This document summarizes and compares various hole healing techniques in wireless sensor networks. It discusses hole selection methods such as random, maximum size, nearest distance, travelling salesman problem, and weighted. The weighted method considers hole angle, distance, and depth to assign priority. It then reviews hole healing processes including Voronoi diagram based, Delaunay's triangulation, and direction adjustment approaches. Experimental results show the weighted method improves both coverage and connectivity while the travelling salesman method achieves near complete coverage with additional nodes.
Comparative Review for Routing Protocols in Mobile Ad-Hoc Networks
Wireless Mobile Ad-Hoc Networks is one of the attractive research field that growing exponentially in the
last decade. it surrounded by much challenges that should be solved the improve establishment of such
networks. Failure of wireless link is considered as one of popular challenges faced by Mobile Ad-Hoc
Networks (MANETs). As this type of networks does not require any pre-exist hardware. As well as, every
node have the ability of roaming where it can be connected to other nodes dynamically. Therefore, the
network internal structure will be unpredictably changed frequently according to continuous activities
between nodes that simultaneously update network topology in the basis of active ad-hoc nature. This
model puts the functionality of routing operation in crucial angle in the area of research under mobile adhoc
network field due to highly dynamic nature. Adapting such kernel makes MANET indigence new
routing techniques to settle these challenges. Thereafter, tremendous amount of routing protocols proposed
to argue with ad-hoc nature. Thus, it is quite difficult to specify which protocols operate efficiently under
different mobile ad-hoc scenarios. This paper examines some of the prominent routing protocols that are
designed for mobile ad-hoc networks by describing their structures, operations, features and then
comparing their various characteristics.
Modeling the Adaption Rule in Contextaware Systems
Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing
systems. Each context-aware application has its own set of behaviors to react to context modifications. This
paper is concerned with the context modeling and the development methodology for context-aware systems.
We proposed a rule-based approach and use the adaption tree to model the adaption rule of context-aware
systems. We illustrate this idea in an arithmetic game application.
Enmat v2.2 presentation september 2015 online
Envantage is an energy and carbon management consultancy based in Manchester that helps organizations efficiently manage their carbon reduction. It operates across sectors in the UK, Ireland, and Europe. Envantage was incorporated in 2004 and provides an Energy Monitoring and Targeting (ENMAT) system to help clients identify energy waste, set targets, and reduce energy costs and emissions through improved energy management. The ENMAT system collects data from meters and sensors, generates reports and dashboards, and allows customization to meet client needs.
Enmat details of each chart
This document provides an overview of various energy consumption, cost and carbon emission charts and analyses available in the ENMAT energy monitoring software. It describes charts for daily, weekly and hourly consumption; average power factor; peak demand; maximum demand; energy consumption; cost per square meter; kilowatt-hours per square meter; power factor detail; power factor gauge; production per kilowatt-hour; site usage summary; carbon emissions; energy target setting; summary pie charts; site usage; period summary; bill forecasting; degree days; main dashboards; and multiple regression analysis and CUSUM techniques for predictive modeling. Contact information is provided at the end for Envantage Ltd, the company that created the ENMAT software.
Recommended
ORGANIC USER INTERFACES: FRAMEWORK, INTERACTION MODEL AND DESIGN GUIDELINES
The document proposes an organic user interface (OUI) framework and interaction model called SMaG (Speech Manipulation air-Gesture).
It divides the control module of the tangible user interface framework into tangible and intangible controls. Tangible controls involve direct contact like touch, while intangible controls include speech and gestures.
The paper then introduces the SMaG model, which categorizes OUI input techniques. Based on this model, the paper provides design guidelines for OUIs with principles for look, feel, and design. The guidelines consider the best and worst uses of each SMaG technique.
Multi-Robot Sensor Relocation to Enhance Connectivity in a WSN
Ensuring connectivity in Wireless Sensor Networks (WSN) is a challenging issue, especially in hazardous
areas (like battlefield). Many applications of WSN require an important level of connectivity in the network
to detect a given event (like detection Intrusion) and forward it to the ”sink” node in order to alert users.
For these risky areas the deterministic deployment is not usually guaranteed and the network is composed
by a set of disconnected Islands. We present in our work two strategies to relocate sensors in order to
improve the connectivity using mobile Robots. These two solutions are called Multi-Robot Island-based
Relocation (MRIBR) and Multi-Robot Grid-Based Island-based Relocation (MRGIR). Through several
simulations, we show that MRGIR outperforms MRIBR. Our study can be used especially to make a tradeoff
between the number of deployed sensors and the numbers of the used mobile robots, according to the
quality needed for the application.
COMMUNITY DETECTION USING INTER CONTACT TIME AND SOCIAL CHARACTERISTICS BASED...
Delay Tolerant Networks (DTNs) where the node connectivity is opportunistic and end-to-end path between
any pair of source and destination is not guaranteed most of the time. Hence the messages are transferred
from source to destination via intermediate nodes on hop to hop basis using store-carry-forward paradigm.
Due to quick advancement in hand held devices such as smart phone and laptop with support of wireless
communication interface carried by human being, it is possible in coming days to use DTNs for message
dissemination without setting up infrastructure. The routing task becomes challenging in DTNs due to
intermittent network connectivity and the connection opportunity arises only when node comes in
transmission range of each other. The performance of the routing protocols depend on the selection of
appropriate relay node which can deliver the message to final destination in case of source and destination
do not meet at all. Many social characteristics are exhibited by the human being like friendship,
community, similarity and centrality which can be exploited by the routing protocol in order to take the
forwarding decisions. Literature shows that by using these characteristics, the performance of DTN routing
protocols have been improved in terms of delivery probability. The existing routing schemes used
community detection using aggregated contact duration and contact frequency which does not change over
the time period. We propose community detection through Inter Contact Time (ICT) between node pair
using power law distribution where the members of community are added and removed dynamically. We
also considered single copy of each message in entire network to reduce the network overhead. The
proposed routing protocol named Social Based Single Copy Routing (SBSCR) selects the suitable relay
node from the community members only based on the social metrics such as similarity and friendship
together. ICTs show power law nature in human mobility which is used to detect the community structure at
each node. A node maintains its own community and social metrics such as similarity and friendship with
other nodes. Whenever node has to select the relay node then it selects from its community with higher
value of social metric. The simulations are conducted using ONE simulator on the real traces of campus
and conference environments. SBSCR is compared with existing schemes and results show that it
outperforms in terms of delivery probability and delivery delay with comparable overhead ratio.
REVIEW OVER HOLE HEALING TECHNIQUES IN WIRELESS SENSOR NETWORKS
This document summarizes and compares various hole healing techniques in wireless sensor networks. It discusses hole selection methods such as random, maximum size, nearest distance, travelling salesman problem, and weighted. The weighted method considers hole angle, distance, and depth to assign priority. It then reviews hole healing processes including Voronoi diagram based, Delaunay's triangulation, and direction adjustment approaches. Experimental results show the weighted method improves both coverage and connectivity while the travelling salesman method achieves near complete coverage with additional nodes.
Comparative Review for Routing Protocols in Mobile Ad-Hoc Networks
Wireless Mobile Ad-Hoc Networks is one of the attractive research field that growing exponentially in the
last decade. it surrounded by much challenges that should be solved the improve establishment of such
networks. Failure of wireless link is considered as one of popular challenges faced by Mobile Ad-Hoc
Networks (MANETs). As this type of networks does not require any pre-exist hardware. As well as, every
node have the ability of roaming where it can be connected to other nodes dynamically. Therefore, the
network internal structure will be unpredictably changed frequently according to continuous activities
between nodes that simultaneously update network topology in the basis of active ad-hoc nature. This
model puts the functionality of routing operation in crucial angle in the area of research under mobile adhoc
network field due to highly dynamic nature. Adapting such kernel makes MANET indigence new
routing techniques to settle these challenges. Thereafter, tremendous amount of routing protocols proposed
to argue with ad-hoc nature. Thus, it is quite difficult to specify which protocols operate efficiently under
different mobile ad-hoc scenarios. This paper examines some of the prominent routing protocols that are
designed for mobile ad-hoc networks by describing their structures, operations, features and then
comparing their various characteristics.
Modeling the Adaption Rule in Contextaware Systems
Context awareness is increasingly gaining applicability in interactive ubiquitous mobile computing
systems. Each context-aware application has its own set of behaviors to react to context modifications. This
paper is concerned with the context modeling and the development methodology for context-aware systems.
We proposed a rule-based approach and use the adaption tree to model the adaption rule of context-aware
systems. We illustrate this idea in an arithmetic game application.
Enmat v2.2 presentation september 2015 online
Envantage is an energy and carbon management consultancy based in Manchester that helps organizations efficiently manage their carbon reduction. It operates across sectors in the UK, Ireland, and Europe. Envantage was incorporated in 2004 and provides an Energy Monitoring and Targeting (ENMAT) system to help clients identify energy waste, set targets, and reduce energy costs and emissions through improved energy management. The ENMAT system collects data from meters and sensors, generates reports and dashboards, and allows customization to meet client needs.
Enmat details of each chart
This document provides an overview of various energy consumption, cost and carbon emission charts and analyses available in the ENMAT energy monitoring software. It describes charts for daily, weekly and hourly consumption; average power factor; peak demand; maximum demand; energy consumption; cost per square meter; kilowatt-hours per square meter; power factor detail; power factor gauge; production per kilowatt-hour; site usage summary; carbon emissions; energy target setting; summary pie charts; site usage; period summary; bill forecasting; degree days; main dashboards; and multiple regression analysis and CUSUM techniques for predictive modeling. Contact information is provided at the end for Envantage Ltd, the company that created the ENMAT software.
Enmat details of each chart
This document provides an overview of various energy consumption charts, graphs, and analytical tools available in the ENMAT energy management software. It describes charts for daily and weekly consumption, peak demand, maximum demand, power factor, energy costs, carbon emissions, target setting, usage summaries, and bill forecasting. It also mentions custom dashboards, regression analysis, R-squared values, CUSUM charts, and degree days calculations. The document promotes ENMAT's software and services for energy data monitoring and analysis.
Enmat v2.2 presentation Envantage ltd January 2015
Envantage ENMAT offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites
Enmat v2.2 presentation september 2014
Envantage ENMAT offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites
Enmat v2.2 Presentation July 2014
ENMAT (Energy Monitoring & Targeting) is a web based Energy Monitoring and Targeting system. It presents energy management data in a way that is relevant, meaningful and useful to users.
The purpose of Monitoring and Targeting is to relate your energy consumption data to the appropriate energy drivers, such as weather and production, so that you get a better understanding of how energy is being used. In particular, it will identify if there are signs of avoidable waste or other opportunities to reduce consumption.
Envantage offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites.
Visit www.en-mat.com for more information.
Enmat renewable energy monitoring
ENMAT supports the monitoring of renewable energy solutions. Users can view their renewable energy usage alongside other energy types such as Mains Electricity, Gas, Water, Heat and Steam.
For more information please visit http://www.en-mat.com/solutions/renewable-energy-monitoring
Enmat v2.1 details of each chart
This presentation provides details on the available dashboards, charts and graphs in ENMAT V2.1
See: http://kb.en-mat.com/knowledgebase.php?category=6 for more information.
Enmat v2.1 presentation Envantage ltd Jan 2014
ENMAT (Energy Monitoring & Targeting) is a web based Energy Monitoring and Targeting system. It presents energy management data in a way that is relevant, meaningful and useful to users.
The purpose of Monitoring and Targeting is to relate your energy consumption data to the appropriate energy drivers, such as weather and production, so that you get a better understanding of how energy is being used. In particular, it will identify if there are signs of avoidable waste or other opportunities to reduce consumption.
Envantage offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites.
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Operating System Used by Users in day-to-day life.pptx
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
More Related Content
More from ENMAT Energy
Enmat details of each chart
This document provides an overview of various energy consumption charts, graphs, and analytical tools available in the ENMAT energy management software. It describes charts for daily and weekly consumption, peak demand, maximum demand, power factor, energy costs, carbon emissions, target setting, usage summaries, and bill forecasting. It also mentions custom dashboards, regression analysis, R-squared values, CUSUM charts, and degree days calculations. The document promotes ENMAT's software and services for energy data monitoring and analysis.
Enmat v2.2 presentation Envantage ltd January 2015
Envantage ENMAT offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites
Enmat v2.2 presentation september 2014
Envantage ENMAT offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites
Enmat v2.2 Presentation July 2014
ENMAT (Energy Monitoring & Targeting) is a web based Energy Monitoring and Targeting system. It presents energy management data in a way that is relevant, meaningful and useful to users.
The purpose of Monitoring and Targeting is to relate your energy consumption data to the appropriate energy drivers, such as weather and production, so that you get a better understanding of how energy is being used. In particular, it will identify if there are signs of avoidable waste or other opportunities to reduce consumption.
Envantage offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites.
Visit www.en-mat.com for more information.
Enmat renewable energy monitoring
ENMAT supports the monitoring of renewable energy solutions. Users can view their renewable energy usage alongside other energy types such as Mains Electricity, Gas, Water, Heat and Steam.
For more information please visit http://www.en-mat.com/solutions/renewable-energy-monitoring
Enmat v2.1 details of each chart
This presentation provides details on the available dashboards, charts and graphs in ENMAT V2.1
See: http://kb.en-mat.com/knowledgebase.php?category=6 for more information.
Enmat v2.1 presentation Envantage ltd Jan 2014
ENMAT (Energy Monitoring & Targeting) is a web based Energy Monitoring and Targeting system. It presents energy management data in a way that is relevant, meaningful and useful to users.
The purpose of Monitoring and Targeting is to relate your energy consumption data to the appropriate energy drivers, such as weather and production, so that you get a better understanding of how energy is being used. In particular, it will identify if there are signs of avoidable waste or other opportunities to reduce consumption.
Envantage offer a Monitoring and Targeting (M&T) service to enable organisations to save energy and cut costs. The use of this platform means that we can deliver a bespoke solutions to meet your needs.
Aimed at industrial/commercial SMEs and multi-site retailers, the Envantage ENMAT service utilises the latest software technologies to obtain a full picture of customer energy usage across single or multiple sites.
More from ENMAT Energy (7)
Enmat v2.2 presentation Envantage ltd January 2015
Enmat v2.2 presentation Envantage ltd January 2015
Recently uploaded
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
When it comes to unit testing in the .NET ecosystem, developers have a wide range of options available. Among the most popular choices are NUnit, XUnit, and MSTest. These unit testing frameworks provide essential tools and features to help ensure the quality and reliability of code. However, understanding the differences between these frameworks is crucial for selecting the most suitable one for your projects.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Operating System Used by Users in day-to-day life.pptx
Dive into the realm of operating systems (OS) with Pravash Chandra Das, a seasoned Digital Forensic Analyst, as your guide. 🚀 This comprehensive presentation illuminates the core concepts, types, and evolution of OS, essential for understanding modern computing landscapes.
Beginning with the foundational definition, Das clarifies the pivotal role of OS as system software orchestrating hardware resources, software applications, and user interactions. Through succinct descriptions, he delineates the diverse types of OS, from single-user, single-task environments like early MS-DOS iterations, to multi-user, multi-tasking systems exemplified by modern Linux distributions.
Crucial components like the kernel and shell are dissected, highlighting their indispensable functions in resource management and user interface interaction. Das elucidates how the kernel acts as the central nervous system, orchestrating process scheduling, memory allocation, and device management. Meanwhile, the shell serves as the gateway for user commands, bridging the gap between human input and machine execution. 💻
The narrative then shifts to a captivating exploration of prominent desktop OSs, Windows, macOS, and Linux. Windows, with its globally ubiquitous presence and user-friendly interface, emerges as a cornerstone in personal computing history. macOS, lauded for its sleek design and seamless integration with Apple's ecosystem, stands as a beacon of stability and creativity. Linux, an open-source marvel, offers unparalleled flexibility and security, revolutionizing the computing landscape. 🖥️
Moving to the realm of mobile devices, Das unravels the dominance of Android and iOS. Android's open-source ethos fosters a vibrant ecosystem of customization and innovation, while iOS boasts a seamless user experience and robust security infrastructure. Meanwhile, discontinued platforms like Symbian and Palm OS evoke nostalgia for their pioneering roles in the smartphone revolution.
The journey concludes with a reflection on the ever-evolving landscape of OS, underscored by the emergence of real-time operating systems (RTOS) and the persistent quest for innovation and efficiency. As technology continues to shape our world, understanding the foundations and evolution of operating systems remains paramount. Join Pravash Chandra Das on this illuminating journey through the heart of computing. 🌟
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI, built on the robust SAP Business Technology Platform (SAP BTP), is the latest and most advanced version of our AI development, reaffirming our commitment to delivering top-tier AI solutions. Skybuffer AI harnesses all the innovative capabilities of the SAP BTP in the AI domain, from Conversational AI to cutting-edge Generative AI and Retrieval-Augmented Generation (RAG). It also helps SAP customers safeguard their investments into SAP Conversational AI and ensure a seamless, one-click transition to SAP Business AI.
With Skybuffer AI, various AI models can be integrated into a single communication channel such as Microsoft Teams. This integration empowers business users with insights drawn from SAP backend systems, enterprise documents, and the expansive knowledge of Generative AI. And the best part of it is that it is all managed through our intuitive no-code Action Server interface, requiring no extensive coding knowledge and making the advanced AI accessible to more users.
Main news related to the CCS TSI 2023 (2023/1695)
An English 🇬🇧 translation of a presentation to the speech I gave about the main changes brought by CCS TSI 2023 at the biggest Czech conference on Communications and signalling systems on Railways, which was held in Clarion Hotel Olomouc from 7th to 9th November 2023 (konferenceszt.cz). Attended by around 500 participants and 200 on-line followers.
The original Czech 🇨🇿 version of the presentation can be found here: https://www.slideshare.net/slideshow/hlavni-novinky-souvisejici-s-ccs-tsi-2023-2023-1695/269688092 .
The videorecording (in Czech) from the presentation is available here: https://youtu.be/WzjJWm4IyPk?si=SImb06tuXGb30BEH .
Best 20 SEO Techniques To Improve Website Visibility In SERP
Boost your website's visibility with proven SEO techniques! Our latest blog dives into essential strategies to enhance your online presence, increase traffic, and rank higher on search engines. From keyword optimization to quality content creation, learn how to make your site stand out in the crowded digital landscape. Discover actionable tips and expert insights to elevate your SEO game.
Presentation of the OECD Artificial Intelligence Review of Germany
Consult the full report at https://www.oecd.org/digital/oecd-artificial-intelligence-review-of-germany-609808d6-en.htm
5th LF Energy Power Grid Model Meet-up Slides
5th Power Grid Model Meet-up
It is with great pleasure that we extend to you an invitation to the 5th Power Grid Model Meet-up, scheduled for 6th June 2024. This event will adopt a hybrid format, allowing participants to join us either through an online Mircosoft Teams session or in person at TU/e located at Den Dolech 2, Eindhoven, Netherlands. The meet-up will be hosted by Eindhoven University of Technology (TU/e), a research university specializing in engineering science & technology.
Power Grid Model
The global energy transition is placing new and unprecedented demands on Distribution System Operators (DSOs). Alongside upgrades to grid capacity, processes such as digitization, capacity optimization, and congestion management are becoming vital for delivering reliable services.
Power Grid Model is an open source project from Linux Foundation Energy and provides a calculation engine that is increasingly essential for DSOs. It offers a standards-based foundation enabling real-time power systems analysis, simulations of electrical power grids, and sophisticated what-if analysis. In addition, it enables in-depth studies and analysis of the electrical power grid’s behavior and performance. This comprehensive model incorporates essential factors such as power generation capacity, electrical losses, voltage levels, power flows, and system stability.
Power Grid Model is currently being applied in a wide variety of use cases, including grid planning, expansion, reliability, and congestion studies. It can also help in analyzing the impact of renewable energy integration, assessing the effects of disturbances or faults, and developing strategies for grid control and optimization.
What to expect
For the upcoming meetup we are organizing, we have an exciting lineup of activities planned:
-Insightful presentations covering two practical applications of the Power Grid Model.
-An update on the latest advancements in Power Grid -Model technology during the first and second quarters of 2024.
-An interactive brainstorming session to discuss and propose new feature requests.
-An opportunity to connect with fellow Power Grid Model enthusiasts and users.
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Predictive maintenance is a proactive approach that anticipates equipment failures before they happen. At the forefront of this innovative strategy is Artificial Intelligence (AI), which brings unprecedented precision and efficiency. AI in predictive maintenance is transforming industries by reducing downtime, minimizing costs, and enhancing productivity.
Programming Foundation Models with DSPy - Meetup Slides
Prompting language models is hard, while programming language models is easy. In this talk, I will discuss the state-of-the-art framework DSPy for programming foundation models with its powerful optimizers and runtime constraint system.
Digital Marketing Trends in 2024 | Guide for Staying Ahead
https://www.wask.co/ebooks/digital-marketing-trends-in-2024
Feeling lost in the digital marketing whirlwind of 2024? Technology is changing, consumer habits are evolving, and staying ahead of the curve feels like a never-ending pursuit. This e-book is your compass. Dive into actionable insights to handle the complexities of modern marketing. From hyper-personalization to the power of user-generated content, learn how to build long-term relationships with your audience and unlock the secrets to success in the ever-shifting digital landscape.
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
This case study explores designing a scalable e-commerce platform, covering key requirements, system components, and best practices.
Skybuffer SAM4U tool for SAP license adoption
Manage and optimize your license adoption and consumption with SAM4U, an SAP free customer software asset management tool.
SAM4U, an SAP complimentary software asset management tool for customers, delivers a detailed and well-structured overview of license inventory and usage with a user-friendly interface. We offer a hosted, cost-effective, and performance-optimized SAM4U setup in the Skybuffer Cloud environment. You retain ownership of the system and data, while we manage the ABAP 7.58 infrastructure, ensuring fixed Total Cost of Ownership (TCO) and exceptional services through the SAP Fiori interface.
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for life science domain, where you retriever information from biomedical knowledge graphs using LLMs to increase the accuracy and performance of generated answers
Artificial Intelligence for XMLDevelopment
In the rapidly evolving landscape of technologies, XML continues to play a vital role in structuring, storing, and transporting data across diverse systems. The recent advancements in artificial intelligence (AI) present new methodologies for enhancing XML development workflows, introducing efficiency, automation, and intelligent capabilities. This presentation will outline the scope and perspective of utilizing AI in XML development. The potential benefits and the possible pitfalls will be highlighted, providing a balanced view of the subject.
We will explore the capabilities of AI in understanding XML markup languages and autonomously creating structured XML content. Additionally, we will examine the capacity of AI to enrich plain text with appropriate XML markup. Practical examples and methodological guidelines will be provided to elucidate how AI can be effectively prompted to interpret and generate accurate XML markup.
Further emphasis will be placed on the role of AI in developing XSLT, or schemas such as XSD and Schematron. We will address the techniques and strategies adopted to create prompts for generating code, explaining code, or refactoring the code, and the results achieved.
The discussion will extend to how AI can be used to transform XML content. In particular, the focus will be on the use of AI XPath extension functions in XSLT, Schematron, Schematron Quick Fixes, or for XML content refactoring.
The presentation aims to deliver a comprehensive overview of AI usage in XML development, providing attendees with the necessary knowledge to make informed decisions. Whether you’re at the early stages of adopting AI or considering integrating it in advanced XML development, this presentation will cover all levels of expertise.
By highlighting the potential advantages and challenges of integrating AI with XML development tools and languages, the presentation seeks to inspire thoughtful conversation around the future of XML development. We’ll not only delve into the technical aspects of AI-powered XML development but also discuss practical implications and possible future directions.
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Are you ready to revolutionize how you handle data? Join us for a webinar where we’ll bring you up to speed with the latest advancements in Generative AI technology and discover how leveraging FME with tools from giants like Google Gemini, Amazon, and Microsoft OpenAI can supercharge your workflow efficiency.
During the hour, we’ll take you through:
Guest Speaker Segment with Hannah Barrington: Dive into the world of dynamic real estate marketing with Hannah, the Marketing Manager at Workspace Group. Hear firsthand how their team generates engaging descriptions for thousands of office units by integrating diverse data sources—from PDF floorplans to web pages—using FME transformers, like OpenAIVisionConnector and AnthropicVisionConnector. This use case will show you how GenAI can streamline content creation for marketing across the board.
Ollama Use Case: Learn how Scenario Specialist Dmitri Bagh has utilized Ollama within FME to input data, create custom models, and enhance security protocols. This segment will include demos to illustrate the full capabilities of FME in AI-driven processes.
Custom AI Models: Discover how to leverage FME to build personalized AI models using your data. Whether it’s populating a model with local data for added security or integrating public AI tools, find out how FME facilitates a versatile and secure approach to AI.
We’ll wrap up with a live Q&A session where you can engage with our experts on your specific use cases, and learn more about optimizing your data workflows with AI.
This webinar is ideal for professionals seeking to harness the power of AI within their data management systems while ensuring high levels of customization and security. Whether you're a novice or an expert, gain actionable insights and strategies to elevate your data processes. Join us to see how FME and AI can revolutionize how you work with data!
Recently uploaded (20)
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Nunit vs XUnit vs MSTest Differences Between These Unit Testing Frameworks.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdf
Operating System Used by Users in day-to-day life.pptx
Operating System Used by Users in day-to-day life.pptx
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Skybuffer AI: Advanced Conversational and Generative AI Solution on SAP Busin...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Deep Dive: AI-Powered Marketing to Get More Leads and Customers with HyperGro...
Best 20 SEO Techniques To Improve Website Visibility In SERP
Best 20 SEO Techniques To Improve Website Visibility In SERP
Presentation of the OECD Artificial Intelligence Review of Germany
Presentation of the OECD Artificial Intelligence Review of Germany
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
leewayhertz.com-AI in predictive maintenance Use cases technologies benefits ...
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Nordic Marketo Engage User Group_June 13_ 2024.pptx
Programming Foundation Models with DSPy - Meetup Slides
Programming Foundation Models with DSPy - Meetup Slides
Digital Marketing Trends in 2024 | Guide for Staying Ahead
Digital Marketing Trends in 2024 | Guide for Staying Ahead
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
System Design Case Study: Building a Scalable E-Commerce Platform - Hiike
GraphRAG for Life Science to increase LLM accuracy
GraphRAG for Life Science to increase LLM accuracy
Driving Business Innovation: Latest Generative AI Advancements & Success Story
Driving Business Innovation: Latest Generative AI Advancements & Success Story