Artificial Intelligence Applications For Building Energy Management Applications [John Egbuta]
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This document summarizes a PhD candidate's research using artificial intelligence to automate building energy management. The research aims to integrate a building energy management system with micro-generation systems on a single platform to achieve zero energy building status. The candidate is developing a cost function controller that considers energy costs, thermal comfort, and energy production. Preliminary MATLAB modeling shows a neural network model can accurately predict and optimize a simulated heat plant to track temperature references. Further work is needed to optimize plant tracking and include integral or derivative controls. Overall, the research aims to make buildings more adaptive and energy-productive entities.
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Title:
Wanted! - Open M&S Standards and Technologies for the Smart Grid
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Modeling and Simulation (M&S) technologies have a broad set of applications in power systems, from infrastructure planning, through real-time testing of components, and even for training operators to use decision support systems. However, power system M&S technologies face a great challenge to meet when designing, testing, operating and controlling cyber-physical and sustainable electrical energy systems and components, a.k.a “Smart Grids”.
The speaker claims that open M&S standards can have a large role to play in the development of Smart Grids. This claim will be justified with three examples.
The first example describes the experience gained during the EU FP7 iTesla project where the iTesla Power Systems Modelica Library (iPSL) was designed using the Modelica language. The Modelica language, being standardized and equation-based, has proven valuable for the project for model exchange, and even simulation of actual power networks.
Within the iTesla project, the KTH SmarTS Lab research group has been also applying the FMI standard for model exchange in order to develop a software prototype called RaPId. The RaPId Toolbox aims to provide a “virtual laboratory” to solve parameter identification and model validation problems for any kind of model represented in an FMU, but specifically, for power systems.
The third example comes from a collaboration with Xogeny. It will be shown how it is possible to exploit the FMI to decouple the model from the simulator tool, and thus, exploit the model in unforeseen ways. This shows that is possible develop customized and stand-alone analysis tools using web technologies, giving analyst more time for “analysis”. This approach has an enormous potential for typical analysis applications, but even more, for education.
Harmonic Mitigation by SRF Theory Based Active Power Filter using Adaptive Hy...
Power quality is an all-encompassing concept for a multitude of individual types of power system disturbances. The presence of harmonics in power supply network poses a severe power quality problem that results in greater power losses in the distribution system, interference problems in communication systems and, sometimes, in operation failures of electronic equipment. Shunt active power filters are employed to suppress the current harmonics and reduce the total harmonic distortion (THD). The voltage source inverter (VSI) is the core of an active power filter. The hysteresis current control is a method of controlling the VSI. Hysteresis control can be either of fixed band type or adaptive band type. In this paper, Synchronous Reference Frame (SRF) theory is implemented for the generation of reference current signals for the controller. This paper investigates the effectiveness of the proposed model in harmonics currents mitigation by simulating a model of a three-phase three wire shunt active power filter based on adaptive hysteresis current control and SRF theory. Simulation results indicate that the proposed active power filter can restrain harmonics of electrical source current effectively
Learning from data for wind–wave forecasting
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Naidu_Sumit_Resume
Sumit Ravi Naidu is seeking an entry-level position in electrical and electronic engineering. He has a Master's degree in electrical engineering from Texas A&M University and a Bachelor's from Bhilai Institute of Technology in India. His experience includes teaching assistant roles at Texas A&M and internships at power plants in India where he worked on PLCs, DCS, and developed control programs. His projects involve power system analysis, renewable energy control systems, and modeling a thermal power plant. He is proficient in programming languages, power and control systems tools, and office software.
Implementation and Performance Analysis of a Vedic Multiplier Using Tanner ED...
high density, VLSI chips have led to rapid and innovative development in low power design during the recent years .The need for low power design is becoming a major issue in high performance digital systems such as microprocessor, digital signal processor and other applications. For these applications, Multiplier is the major core block. Based on the Multiplier design, an efficient processor is designed. Power and area efficient multiplier using CMOS logic circuits for applications in various digital signal processors is designed. This multiplier is implemented using Vedic multiplication algorithms mainly the "UrdhvaTriyakBhyam sutra., which is the most generalized one Vedic multiplication algorithm [1] . A multiplier is a very important element in almost all the processors and contributes substantially to the total power consumption of the system. The novel point is the efficient use of Vedic algorithm (sutras) that reduces the number of computational steps considerably compared with any conventional method . The schematic for this multiplier is designed using TANNER TOOL. Paper presents a systematic design methodology for this improved performance digital multiplier based on Vedic mathematics.
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This presentation shows all the steps in the development of the solution for the data science challenge "Power Laws: Optimizing Demand-side Strategies" run on drivendata.org by Schneider
https://www.drivendata.org/competitions/53/optimize-photovoltaic-battery/
https://www.ironbar.ai
Two step optimization approach for the design of multiplierless linear-phase ...
Chennai Office: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Nagar, Chennai-83. Landmark: Next to Kotak Mahendra Bank/Bharath Scans
KCC2017 28APR2017
This document evaluates the performance of deep learning algorithms and data preprocessing for demand power prediction. Experiments were conducted using raw and preprocessed daily electricity load, temperature, and weather data from Australia. Recurrent neural networks and convolutional neural networks generally had better prediction accuracy when trained on preprocessed rather than raw data. Preprocessing scaled the temperature data and increased the data points, leading to more stable and accurate results across all tested algorithms. The best performance was achieved using a recurrent neural network on preprocessed data. Further analysis of extreme learning machine algorithms was recommended.
AI Techniques for Smart Grids
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09 mikoski pv-mismatch_pvpmc-8_20170509_r5
09 mikoski pv-mismatch_pvpmc-8_20170509_r5Sandia National Laboratories: Energy & Climate: Renewables
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This document discusses percentage overshoot of unit step response in control systems. It defines percentage overshoot as the maximum value of a system's step response minus one. The percentage overshoot is determined by the damping ratio ζ. It provides the circuit diagram of an ideal negative feedback model and explains the working of step response for feedback amplifiers. The principles of superposition, derivative and integral properties are also covered. Industrial applications include using MATLAB to study system parameters and plot response curves. Compensating networks can be applied to stabilize unstable systems and minimize overshoot, though this may reduce steady state accuracy.
Machine Learning Techniques for the Smart Grid – Modeling of Solar Energy usi...
This talk covers the application of machine learning techniques for energy applications, in particular for modeling solar radiation. The first part explores meta-heuristic search algorithms and envisioned their application for designing distributed, self-organizing control systems using evolutionary algorithms. The second part gives an introduction to solar radiation modeling and shows how neural networks can be used to artificial neural networks to learn the correlation of input parameters such as latitude, longitude, temperature, humidity, month, day, hour to predict global and diffuse solar radiation.
Power System Simulation: History, State of the Art, and Challenges
This talk will give an overview of power system simulation technology through several decades, aiming to provide an understanding of the modeling philosophy and approach that has lead to the state of the art in (domain specific) power system simulation tools. This historical perspective will contrast the de facto proprietary software development method used by the power engineering community, against the open source development model. Aspects of resistance to change particular to the power system engineering community will be highlighted.
Given this particular context, power system simulation faces enormous challenges to adapt in order to satisfy simulation needs of both cyber-physical and sustainable system challenges. Such challenges will be highlighted during the talk.
There is, however, an opportunity for disruptive change in power system simulation technology emerging for the EU Smart Grid Mandate M/490, which requires "a set of consistent standards, which will support the information exchange (communication protocols and data models) and the integration of all users into the electric system operation." These regulatory aspects will be explained to highlight the importance of collaboration between the power system domain and computer system experts.
Open modeling and simulation standards may have a large role to play in the development of the European Smart Grid which will have to overcome challenges related to the design, operation and control of cyber-physical and sustainable electrical energy systems. To contribute to this role, the KTH SmarTS Lab research group has been applying the standardized Modelica language and the FMI standard for model exchange in order to couple the domain specific data exchange model (CIM) with the powerful and modern simulation technologies developed by the Modelica community. These efforts will be also discussed.
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Wanted!: Open M&S Standards and Technologies for the Smart Grid - Introducing...
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Power Laws: Optimizing Demand-side Strategies. Second Prize Solution
Power Laws: Optimizing Demand-side Strategies. Second Prize Solution
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This document contains biographies of two speakers, Glenn Hinds and Tim Warren, presenting at an event on leading change for the future and supporting self-management. Glenn Hinds is a director of a training company who has almost 20 years experience as a social worker in mental health and substance abuse services. Tim Warren has a background in social work and worked in criminal justice, child protection, and health policy roles within the Scottish government focusing on long term conditions and self-management.
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This document provides an agenda for an event titled "Leading Change for the Future" focused on supporting self-management. The one day event at the Centre for Health Science in Inverness includes coffee and registration, opening remarks from the chair, two keynote speakers on education solutions and self-management programs, a motivational speaker, three workshop sessions on various self-management topics, lunch and posters, a plenary on personal experiences with long-term conditions, closing remarks summarizing the workshops and next steps, and identifying actions to apply lessons in daily work.
110614 project summary
This project was funded to develop self-management modules delivered by the University of Highlands and Islands. An audit found gaps in resources and materials, which informed a self-management competency framework. In response, two Masters level modules were developed for lead practitioners focusing on enabling change and leading change. A resource pack was also created, including an online Health Action Plan tool and self-management competency self-assessment toolkit to help practitioners support self-management. Ongoing work will improve the toolkit and embed the competencies and tools in practice, along with a champion network for support.
110614 maggie clark presentation
Self-management involves individuals managing their long-term conditions on a daily basis through self-care activities, with support from health and social care providers. The document discusses educational solutions developed by a project to support self-management through two university modules training leaders and champions of self-management. Lessons learned included the need for flexible timelines and dedicated project management. Future work involves further developing and embedding resources like a competency framework and champions network to support practice change.
110614 glenn hinds presentation
OiWillo Training Co. Ltd. provides training to help with long term health conditions. The company is led by Principal Glenn Hinds who can be contacted via email at glenn@oiwillo.com regarding their training services for long term conditions.
110614 garry coutts presentation
The document contains population data from the General Register Office for Scotland on the population of NHS Highland (excluding Argyll & Bute) from 1981 to 2032 broken down by age and sex. It provides mid-year population estimates for each year over this 52-year period sourced from the General Register Office for Scotland.
110614 delegate list
The document contains a list of over 100 delegates including their name, job title, organisation, and email address. The delegates are from a variety of healthcare organizations in Scotland such as NHS Highland, Robert Gordon University, and the University of the Highlands and Islands. Their roles include nurses, physiotherapists, occupational therapists, dietitians, pharmacists, and others involved in healthcare, education, and patient organizations.
110614 uhi self management modules peg 2011-2012
The document provides information about two Masters level modules on self management offered by the University of the Highlands and Islands (UHI) in collaboration with several health organizations. Module 1 focuses on developing an understanding of self management theories and practicing communication skills to empower individuals. It involves online learning and one face-to-face session. Module 2 focuses on leading organizational change to support self management. It is completed entirely online. Both aim to develop "self management champions" to facilitate culture change within their organizations and support long-term conditions management.
110614 chair profile
Garry Coutts has been chair of NHS Highland since 2004. He was recently appointed Rector of the University of the Highlands and Islands in November 2010. He believes that fully integrating health and social services under single management and budgets can improve care. Garry Coutts is passionate about using strategic commissioning to involve stakeholders in service planning across the public sector.
110614 abstract booklet
The document describes several abstracts presented at a conference on leading change for the future and supporting self-management. The abstracts discuss partnerships and resources for promoting self-management, including a partnership for delivering supported self-management in Highland and Argyll & Bute, a training toolkit for carers and telehealthcare, examples of self-management projects funded in Scotland, tools for chronic disease management using the Flinders model of self-management, using technology and education to support self-management, and developing resources to support a skilled workforce in planning for self-management.
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A Career in Teaching - Isobel Kerr [Scottish Teacher Recruitment Team]
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Professor Martin Price, director of the Centre for Mountain Studies at Perth College UHI and UNESCO chair in sustainable mountain development, welcomes the "Perth II: Global Change and the World's Mountains" conference in Perth, Scotland in September 2010.
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