Energy Data Analytics | Energy Efficiency | IndiaUmesh Bhutoria
This white paper/forward looking note focuses on the role that energy data analytics can play in driving energy efficiency practices and investments, especially in the Indian context. It’s based on extensive desk research and supported by an online survey conducted on industry personnel and other experts
A “Smart” Approach to Big Data in the Energy IndustrySAP Analytics
http://spr.ly/AA_Utilities - Most companies in the oil and gas (O&G), utilities and chemical process industries benefit significantly from global markets; however, they also face pressures that demand instant response to fast-paced international events. Energy companies are using real-time data and analytics to solve key challenges in hotly competitive global markets.
-Bloomberg Businessweek Research
Data Science for Energy Efficiency (Dmytro Mindra Technology Stream)IT Arena
Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
Energy Data Analytics | Energy Efficiency | IndiaUmesh Bhutoria
This white paper/forward looking note focuses on the role that energy data analytics can play in driving energy efficiency practices and investments, especially in the Indian context. It’s based on extensive desk research and supported by an online survey conducted on industry personnel and other experts
A “Smart” Approach to Big Data in the Energy IndustrySAP Analytics
http://spr.ly/AA_Utilities - Most companies in the oil and gas (O&G), utilities and chemical process industries benefit significantly from global markets; however, they also face pressures that demand instant response to fast-paced international events. Energy companies are using real-time data and analytics to solve key challenges in hotly competitive global markets.
-Bloomberg Businessweek Research
Data Science for Energy Efficiency (Dmytro Mindra Technology Stream)IT Arena
Lviv IT Arena is a conference specially designed for programmers, designers, developers, top managers, inverstors, entrepreneurs and startuppers. Annually it takes place at the beginning of October in Lviv at Arena Lviv stadium. In 2016 the conference gathered more than 1800 participants and over 100 speakers from companies like Microsoft, Philips, Twitter, UBER and IBM. More details about the conference at itarena.lviv.ua.
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
Big Data innovation in Japan’s energy industry - EBA Fieldwork 2015Hendy Irawan
Big Data innovation in Japan’s energy industry
Deputy Chairman of Smart House and Building Committee,
Japan Smart Community Alliance, Japan
Fellow, ECHONET Consortium
Keio University
Prof. Masaki Umejima
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
SMi Group is bringing to London this December, a new masterclass training course entitled Big Data for Utilities - combining and creating value from transactional, geospatial and real-time domain information. Don't miss this must attend course in association with Alliander and SAP UK & Ireland
Check out this white paper from eInfochips which showcases how energy and utility providers can unlock potential service opportunities using our predictive analytics solution across all stages of the business cycle. Major utility players are set to roll out millions of smart meters with the aim of generating actionable insights even though as per the industry’s own admission, any serious effort toward monetization is being offset by a lack of core IT capabilities, especially in big data technology. Capturing proactive intelligence on consumer behavior is the way to go. In this white paper, eInfochips demonstrates how utility players can predict demand response, generation response and create new revenue models around coincidental peak demands, smart expenditure modeling and other forms of end user data.
Give your Energy Auditing Business an EDGE with the Motor-Tool!Umesh Bhutoria
Presentations on how Energy Auditors/Consultants can leverage SaaS based Motor Tool, give their business an Edge and find new ways to engage with clients!
To deliver power more responsibly and more efficiently, energy and utilities organizations are working toward a smarter energy value chain: (1) Transformation of the grid, (2) Empowerment of consumers, (3) Ensuring cleaner energy supply.
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Capgemini
Analytics is seeing greater recognition amongst utility executives. Our research showed that 80% of utilities consider big data analytics as a source of new business opportunities and 75% see it as crucial for future success. Big Data indeed offers an exciting opportunity to transform utility operational effectiveness, while at the same time dealing with the historical problem of low customer satisfaction. Take operational efficiency alone. The annual cost of weather-related power outages to the U.S. economy is estimated to be between $18 billion to $33 billion. Organizations can use Big Data analytics to detect operational challenges and prevent outages, substantially reducing costs. Big Data also affords opportunities to utilities for inventing new business models through the data generated by the smart infrastructure.
The analytics opportunity for utilities is clear, but there continues to be a lack of real impetus and value delivery. Only 20% have already implemented big data analytics initiatives. What is putting the brakes on utilities?
In this paper, we highlight the big data opportunities that utilities can leverage and identify the challenges that are currently holding them back. We conclude the paper with concrete recommendations on how to ensure analytics drive business value.
Artificial intelligence in Energy and Utilities – Market OverviewIndigo Advisory Group
Artificial Intelligence has been around for decades, however, over the past 2-3 years the technology has been finding applications across a series of sectors, including energy and utilities. This presentation includes some of the highlights given on an Engerati Webinar on September 27th including three major application areas.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
Big Data: Smart Technologies Provide Big OpportunitiesNAED_Org
Big data has garnered big-time buzz as an effective means to optimize business and measure success. This concise report provides an introduction to the elements of big data and how smart technologies are playing a big role in the information game.
Electricity retailing: location-based approach for quality customer experiencesHervé Senot
My round-up of challenges and opportunities for Australian electricity retailers in the brave new world of data analytics, increasing customer expectations and distributed energy generation / storage. Presentation delivered at SSSI conference in September 2014.
From grid infrastructure analytics to consumer analytics, the true power of data is starting to be realized. Greentech Media Co-Founder and President, Rick Thompson, sets the stage for the days presentations and panels.
Big Data innovation in Japan’s energy industry - EBA Fieldwork 2015Hendy Irawan
Big Data innovation in Japan’s energy industry
Deputy Chairman of Smart House and Building Committee,
Japan Smart Community Alliance, Japan
Fellow, ECHONET Consortium
Keio University
Prof. Masaki Umejima
What are big data in the contacts of energy & utilities, and how/where can the utilities find value in the data. In this C-level presentation we discussed the three prime areas: grid operations, smart metering and asset & workforce management. A section on cognitive computing for utilities have been omitted from the presentation due to confidentiality - but I tell you - it is mind-blowing perspectives on how IBM Watson will help utilities plan and optimize their operations in the near future!
See more on http://www.ibmbigdatahub.com/industry/energy-utilities
SMi Group is bringing to London this December, a new masterclass training course entitled Big Data for Utilities - combining and creating value from transactional, geospatial and real-time domain information. Don't miss this must attend course in association with Alliander and SAP UK & Ireland
Check out this white paper from eInfochips which showcases how energy and utility providers can unlock potential service opportunities using our predictive analytics solution across all stages of the business cycle. Major utility players are set to roll out millions of smart meters with the aim of generating actionable insights even though as per the industry’s own admission, any serious effort toward monetization is being offset by a lack of core IT capabilities, especially in big data technology. Capturing proactive intelligence on consumer behavior is the way to go. In this white paper, eInfochips demonstrates how utility players can predict demand response, generation response and create new revenue models around coincidental peak demands, smart expenditure modeling and other forms of end user data.
Give your Energy Auditing Business an EDGE with the Motor-Tool!Umesh Bhutoria
Presentations on how Energy Auditors/Consultants can leverage SaaS based Motor Tool, give their business an Edge and find new ways to engage with clients!
To deliver power more responsibly and more efficiently, energy and utilities organizations are working toward a smarter energy value chain: (1) Transformation of the grid, (2) Empowerment of consumers, (3) Ensuring cleaner energy supply.
Big Data BlackOut: Are Utilities Powering Up Their Data Analytics?Capgemini
Analytics is seeing greater recognition amongst utility executives. Our research showed that 80% of utilities consider big data analytics as a source of new business opportunities and 75% see it as crucial for future success. Big Data indeed offers an exciting opportunity to transform utility operational effectiveness, while at the same time dealing with the historical problem of low customer satisfaction. Take operational efficiency alone. The annual cost of weather-related power outages to the U.S. economy is estimated to be between $18 billion to $33 billion. Organizations can use Big Data analytics to detect operational challenges and prevent outages, substantially reducing costs. Big Data also affords opportunities to utilities for inventing new business models through the data generated by the smart infrastructure.
The analytics opportunity for utilities is clear, but there continues to be a lack of real impetus and value delivery. Only 20% have already implemented big data analytics initiatives. What is putting the brakes on utilities?
In this paper, we highlight the big data opportunities that utilities can leverage and identify the challenges that are currently holding them back. We conclude the paper with concrete recommendations on how to ensure analytics drive business value.
Artificial intelligence in Energy and Utilities – Market OverviewIndigo Advisory Group
Artificial Intelligence has been around for decades, however, over the past 2-3 years the technology has been finding applications across a series of sectors, including energy and utilities. This presentation includes some of the highlights given on an Engerati Webinar on September 27th including three major application areas.
This pivotal moment of transformation in the utility industry is providing large scale and unprecedented opportunity for traditional power providers and those operating at the edge of the grid. In this capability primer, we highlight some of the broader industry technology trends and the resulting tools, approaches and insights that Indigo Advisory Group employs to help utilities navigate uncertainty and create the right strategies.
Big Data: Smart Technologies Provide Big OpportunitiesNAED_Org
Big data has garnered big-time buzz as an effective means to optimize business and measure success. This concise report provides an introduction to the elements of big data and how smart technologies are playing a big role in the information game.
Electricity retailing: location-based approach for quality customer experiencesHervé Senot
My round-up of challenges and opportunities for Australian electricity retailers in the brave new world of data analytics, increasing customer expectations and distributed energy generation / storage. Presentation delivered at SSSI conference in September 2014.
Smart Grid: Definition
• Need of smart grid
• Smart grid functions
• How Smart Grid Works
• Smart Grid: Benefits
• Smart grid components and its Benefits
• Issues and Challenges
• Opportunities in future
• Smart Grid Projects in India and Gujarat
• Question-Answer
• References
OVERVIEW
WHAT IS SMART GRID?
NEED OF SMART GRID IN INDIAN CONTEXT.
SMART GRID ATTRIBUTES.
INDIAN GOVERNMENT INTIATIVE TOWARDS SMART GRID
SMART GRID PROJECTS IN INDIA.
INDIAN GOVT. APPROVED PROJECTS.
PRESENT STATUS OF PROJECTS
BARRIERS TO SMART GRID IMPLEMETATION
LAYOUT OF SMARTGRID
CONCLUSION
REFRERENCES
This whitepaper highlights the opportunity for Smart Grid Solutions in India for the next 5-10 years as well as suggests recommendation for multinational companies planning to enter this market.
Basics of #Industrial #EnergyEfficiency #AnalyticsUmesh Bhutoria
Thoughts on what i consider the "Basics of Industrial #EnergyEfficiency Analytics" markets. The markets have a lot of room for innovation and hope this presentation can act as food for thought for all the enthusiasts to find their role in the markets!
Grid Connected Electricity Storage Systems (1/2)Leonardo ENERGY
Development and use of Renewable Energy Sources is one of the key elements in European Electricity Research. However, connecting energy sources such as photovoltaics and wind turbines to the electricity grid causes significant effects on these networks. Bottlenecks are stability, security, peaks in supply & demand and overall management of the grid. Energy storage systems provide means to overcome technical and economic hurdles for large-scale introduction of distributed sustainable energy sources. The GROW-DERS project (Grid Reliability and Operability with Distributed Generation using Flexible Storage) investigates the implementation of (transportable) distributed storage systems in the networks. The project is funded by the European Commission (FP6) and the consortium partners are KEMA, Liander, Iberdrola, MVV, EAC, SAFT, EXENDIS, CEA-INES and IPE.
In this project 3 storage systems (2 Li-ion battery systems and a flywheel) have been demonstrated at different test locations in Europe. Additionally, a dedicated software tool, PLATOS (PLAnning Tool for Optimizing Storage), has been developed by KEMA to optimize the energy management of electricity networks using storage. For each network, the location, size and type of storage systems is evaluated for all possible configurations and the most attractive option is selected.
Enerji Sektöründe Endüstriyel IoT Uygulamaları - Şahin Çağlayan (Reengen)ideaport
Reengen Enerji IoT Platformu kurucu ortağı ve AR-GE sorumlusu Sahin Çaglayan, nesnelerin interneti ve büyük veri analizi yeteneklerini bir araya getirerek ticari binalarda ve enerji şebekesinde bulut tabanlı optimizasyon süreçlerini anlattı.
-
23 Mart 2016
meet@ideaport | IoTxTR#21 'Enerji Sektöründe Endüstriyel IoT Uygulamaları' Semineri
Big Data in Oil and Gas: How to Tap Its Full PotentialHitachi Vantara
Tap the full potential of big data to find oil more quickly, enhance oil production, and reduce the health, safety, and environmental risks of equipment failure or operator error. Join this informative 60 minute webcast featuring IDC Energy Insights’ analyst Jill Feblowitz and leading energy experts from Hitachi Data Systems. Explore key findings from IDC Energy Insights' recent examination of big data and analytics in upstream oil and gas. Learn how to: Benefit from the newest technology innovations in upstream oil and gas. Improve the geoscience workflows for more accurate and reliable results. Create big data solutions that scale and perform as you need. Build true big data solutions that are easier to procure, service and support globally. For more information on HDS Solutions for Oil & Gas please visit: http://www.hds.com/solutions/industries/energy.html?WT.ac=us_inside_rm_nrgy
What enables improvements in cost and performance to occur?Jeffrey Funk
These slides discuss the design changes that enable improvements in cost and performance to occur. The main types of design changes that lead to improvements are: 1) reductions in scale (e.g., transistors and Moore's Law); 2) creation of new materials; 3) increases in scale (e.g., internal combustion engines, oil tankers, production equipment). Some technologies experience these improvements directly and some indirectly through the impact of components on higher-level systems.
Prospering from the Energy Revolution: Six in Sixty - Data and DigitalisationKTN
Hear about one of the key facets of PFER, a £102m programme focussed on the integration of power, heat and transport and the business models needed to enable Smart Local Energy Systems (SLES) to scale towards net zero.
If you’re part of the smart systems community this session on Data and Digitalisation within the Prospering From the Energy Revolution (PFER) ISCF, part of the Six in Sixty mini-series is a must see. The fast-paced, quick-fire, hour-long webinar with a minimum of six speakers will continue the story of Smart Local Energy Systems (SLES) and PFER, focusing on the Data and Digitalisation pillar.
PFER is a £102m programme focussed on the integration of power, heat, digital and transport and the business models needed to enable Smart Local Energy Systems (SLES) to scale towards net zero. PFER features 170 businesses funded to deliver around 40 projects; now is the time to bring the smart systems community together.
This is your chance to hear from the various parts of the PFER programme including demonstrators, designs, key technology and data projects alongside our intellectual powerhouse EnergyRev and the Energy Revolution Integration Service delivered via the Energy Systems Catapult.
Episodes in the series will feature a wide variety of project presentations (both PFER and non-PFER funded projects) as well as insights from investors, entrepreneurs, government departments and regulators. Whilst we may end up changing the scope a little based on your feedback, the current plan is as follows.
Building sustainable livelihoods through renewable energy cases EfficientCarbonZolt Energy
Balancing issues between development through science and protecting the planet. A few case studies on how Sustainable Livelihoods can be build through Renewable Energy.
Presentation by Rupert Way during the SBO meeting Climate Group of the OECD Working Party of Parliamentary, Budget Officials and Independent Fiscal Institutions held on 8 December 2022.
A Journey to Power Intelligent IT - Big Data EmployedMohamed Sohail
Sustainability has become a hot topic as a result of significant concerns about the unintended social, environmental, and economic consequences of rapid population growth, economic growth, and consumption of our natural resources. For the IT industry in particular, a highly important consideration that affects the decisions of IT managers is data center power consumption and carbon emission.
Presentation given at PrefabAus 2014. http://www.prefabaus.org.au/conference/
The material has been sourced from a number of researcher, including: Nico Adams, Robert Zlot, Paul Flick, Alberto Elfes, Laurent Lefort, Sarah King, Peter King, Peter Kambourios, Craig James, Leila Alem, Swee Mak.
Bringing Enterprise IT into the 21st Century: A Management and Sustainabilit...Jonathan Koomey
I gave this talk as a webinar on March 19th, 2014 for the Corporate Eco Forum. It discusses ways to improve the efficiency of enterprise IT, mainly focusing on institutional changes that are necessary to make modern IT organizations perform effectively. It draws upon our case study of eBay as well as my other work on data centers over the years.
Helping companies harness wireless innovation and expertiseJames Bemrose
ASH is a creative electronics design consultancy who are experts in wireless technologies. This presentation shows how we can help companies harness wireless innovation and expertise
Similar to Compegence: Dr. Abhinanda Sarkar - Energy Analytics_IISC_2012_Oct (20)
Removing Uninteresting Bytes in Software FuzzingAftab Hussain
Imagine a world where software fuzzing, the process of mutating bytes in test seeds to uncover hidden and erroneous program behaviors, becomes faster and more effective. A lot depends on the initial seeds, which can significantly dictate the trajectory of a fuzzing campaign, particularly in terms of how long it takes to uncover interesting behaviour in your code. We introduce DIAR, a technique designed to speedup fuzzing campaigns by pinpointing and eliminating those uninteresting bytes in the seeds. Picture this: instead of wasting valuable resources on meaningless mutations in large, bloated seeds, DIAR removes the unnecessary bytes, streamlining the entire process.
In this work, we equipped AFL, a popular fuzzer, with DIAR and examined two critical Linux libraries -- Libxml's xmllint, a tool for parsing xml documents, and Binutil's readelf, an essential debugging and security analysis command-line tool used to display detailed information about ELF (Executable and Linkable Format). Our preliminary results show that AFL+DIAR does not only discover new paths more quickly but also achieves higher coverage overall. This work thus showcases how starting with lean and optimized seeds can lead to faster, more comprehensive fuzzing campaigns -- and DIAR helps you find such seeds.
- These are slides of the talk given at IEEE International Conference on Software Testing Verification and Validation Workshop, ICSTW 2022.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
GraphSummit Singapore | The Future of Agility: Supercharging Digital Transfor...Neo4j
Leonard Jayamohan, Partner & Generative AI Lead, Deloitte
This keynote will reveal how Deloitte leverages Neo4j’s graph power for groundbreaking digital twin solutions, achieving a staggering 100x performance boost. Discover the essential role knowledge graphs play in successful generative AI implementations. Plus, get an exclusive look at an innovative Neo4j + Generative AI solution Deloitte is developing in-house.
Pushing the limits of ePRTC: 100ns holdover for 100 daysAdtran
At WSTS 2024, Alon Stern explored the topic of parametric holdover and explained how recent research findings can be implemented in real-world PNT networks to achieve 100 nanoseconds of accuracy for up to 100 days.
Enchancing adoption of Open Source Libraries. A case study on Albumentations.AIVladimir Iglovikov, Ph.D.
Presented by Vladimir Iglovikov:
- https://www.linkedin.com/in/iglovikov/
- https://x.com/viglovikov
- https://www.instagram.com/ternaus/
This presentation delves into the journey of Albumentations.ai, a highly successful open-source library for data augmentation.
Created out of a necessity for superior performance in Kaggle competitions, Albumentations has grown to become a widely used tool among data scientists and machine learning practitioners.
This case study covers various aspects, including:
People: The contributors and community that have supported Albumentations.
Metrics: The success indicators such as downloads, daily active users, GitHub stars, and financial contributions.
Challenges: The hurdles in monetizing open-source projects and measuring user engagement.
Development Practices: Best practices for creating, maintaining, and scaling open-source libraries, including code hygiene, CI/CD, and fast iteration.
Community Building: Strategies for making adoption easy, iterating quickly, and fostering a vibrant, engaged community.
Marketing: Both online and offline marketing tactics, focusing on real, impactful interactions and collaborations.
Mental Health: Maintaining balance and not feeling pressured by user demands.
Key insights include the importance of automation, making the adoption process seamless, and leveraging offline interactions for marketing. The presentation also emphasizes the need for continuous small improvements and building a friendly, inclusive community that contributes to the project's growth.
Vladimir Iglovikov brings his extensive experience as a Kaggle Grandmaster, ex-Staff ML Engineer at Lyft, sharing valuable lessons and practical advice for anyone looking to enhance the adoption of their open-source projects.
Explore more about Albumentations and join the community at:
GitHub: https://github.com/albumentations-team/albumentations
Website: https://albumentations.ai/
LinkedIn: https://www.linkedin.com/company/100504475
Twitter: https://x.com/albumentations
Observability Concepts EVERY Developer Should Know -- DeveloperWeek Europe.pdfPaige Cruz
Monitoring and observability aren’t traditionally found in software curriculums and many of us cobble this knowledge together from whatever vendor or ecosystem we were first introduced to and whatever is a part of your current company’s observability stack.
While the dev and ops silo continues to crumble….many organizations still relegate monitoring & observability as the purview of ops, infra and SRE teams. This is a mistake - achieving a highly observable system requires collaboration up and down the stack.
I, a former op, would like to extend an invitation to all application developers to join the observability party will share these foundational concepts to build on:
DevOps and Testing slides at DASA ConnectKari Kakkonen
My and Rik Marselis slides at 30.5.2024 DASA Connect conference. We discuss about what is testing, then what is agile testing and finally what is Testing in DevOps. Finally we had lovely workshop with the participants trying to find out different ways to think about quality and testing in different parts of the DevOps infinity loop.
GridMate - End to end testing is a critical piece to ensure quality and avoid...ThomasParaiso2
End to end testing is a critical piece to ensure quality and avoid regressions. In this session, we share our journey building an E2E testing pipeline for GridMate components (LWC and Aura) using Cypress, JSForce, FakerJS…
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Compegence: Dr. Abhinanda Sarkar - Energy Analytics_IISC_2012_Oct
1. Energy Analytics
Abhinanda Sarkar
Indian Institute of Science
October 2012
2.
3.
4. Power Generation:
Where do we drill for oil? (Geospatial analysis)
How much wind/solar might we get? (Weather forecasting)
What is the state of the power plant? (Monitoring & diagnostics)
Transmission and Distribution:
Is our electrical grid in good condition? (Reliability analysis)
When is the highest daily electricity usage? (Pattern recognition)
Are there indications of power theft? (Machine learning)
“Show me the money!”
What will be the market price of biomass? (Demand analysis)
Will there be lower tariffs with smart meters? (Asset pricing)
How do we brand nuclear energy? (Risk management)
5. How many years does insulation on transformers last?
Step 1: Simulate electrical loads and ambient temperatures
6. How many years does insulation on transformers last?
Step 2: Use an accepted engineering aging standard
7. How many years does insulation on transformers last?
Step 3: Simulate to design life based on environment and standard
8. How many years does insulation on transformers last?
Step 4: Find ‘hitting time’ distributions
9. How many years does insulation on transformers last?
Step 5: Solve business problems
10. How many years does insulation on transformers last?
Step 5: Solve business problems
11. How many years does insulation on transformers last?
Step 5: Solve business problems
Muthanna, Sarkar, Das, and Waldner, IEEE Transactions on Power Delivery, 2006
12. How much power can we get from a wind farm?
Challenge 1: Power curve uncertainty
13. How much power can we get from a wind farm?
Challenge 2: Variation and correlations across turbines at site
14. How much power can we get from a wind farm?
Solution 1: A wind farm simulator
15. How much power can we get from a wind farm?
Solution 2: An operational power production forecasting system
16. How much power can we get from a wind farm?
Solution 3: Reusable analytics modules
Vineel and Sarkar, IASTED ICMS, 2006, IEEE ISIE, 2007
17. Some strategic points of view …
• Research
- Example: Stanford University and the Global Climate and
Energy Project (GCEP)
• Technology
- Example: GE and the ecomagination initiative
• Solutions
- Example: IBM and Smarter Planet, Green Sigma Coalition
18. Process, Data and Domain driven Information Excellence
ABOUT COMPEGENCE
19. Our Expertise and Focus Areas
Process + Data + Domain => Decision
Analytics; Data Mining; Big Data; DWH & BI
Architecture and Methodology
Partnered Product Development
Consulting, Competency Building, Advisory, Mentoring
Executive Briefing Sessions and Deep Dive Workshops
20. Partners in Co-Creating Success
Process, Data and Domain driven Information Excellence
Process, Data and Domain driven Business Decision Life Cycle
www.compegence.com
info@compegence.com