{"id":579,"date":"2023-05-17T05:17:00","date_gmt":"2023-05-17T05:17:00","guid":{"rendered":"https:\/\/event.kiit.ac.in\/STPEC2023\/?page_id=579"},"modified":"2023-09-13T12:19:43","modified_gmt":"2023-09-13T12:19:43","slug":"tutorials","status":"publish","type":"page","link":"https:\/\/event.kiit.ac.in\/STPEC2023\/tutorials\/","title":{"rendered":"Tutorials"},"content":{"rendered":"\t\t
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Tutorials <\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t
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Title: Generative AI Applications for Power Systems\n<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Dr. Anurag Sharma, Assistant Professor, Newcastle University, UK<\/b><\/p>\n

\"\"Brief Description :\u00a0<\/span>Dr. Anurag Sharma (Member, IEEE) received his Ph.D. degree from the Department of Electrical and\u00a0Computer Engineering, National University of Singapore. He is currently Degree Programme Director\u00a0<\/span>for MSc in Electrical Power Engineering at Newcastle University (UK), Singapore campus. His\u00a0<\/span>research interests are service restoration and grid resiliency, energy management in micro-grids,\u00a0<\/span>planning, and integration of distributed energy resources integration, and machine learning (ML) and\u00a0<\/span>artificial intelligence (AI) applications in power systems. He has delivered numerous invited talks and\u00a0<\/span>tutorials on decarbonization and enhancing the resilience of the grid. In addition to his research\u00a0<\/span>work, Dr. Sharma is also actively involved in professional and community service. He is currently\u00a0<\/span>serving as the Vice-Chair for IEEE PES Singapore Chapter.<\/span><\/p>\n

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Dr. Sayonsom Chanda, Senior Researcher, National Renewable Energy Laboratory (NREL), Golden, Colorado<\/b><\/p>\n

\"\"Brief Description :\u00a0<\/span>Dr Sayonsom Chanda is a smart grid engineer and entrepreneur based in Boulder, Colorado, USA.\u00a0Dr. Chanda has served in many roles in the energy industry – most recently as a senior researcher of\u00a0<\/span>energy systems integration at the National Renewable Energy Laboratory in Denver, Colorado, USA.\u00a0<\/span>As a renowned expert in developing artificial intelligence technologies to combat climate change, he\u00a0<\/span>has been called to deliver lectures at conferences and panel sessions worldwide, including a TEDx\u00a0<\/span>talk in 2021.<\/span><\/p>\n

Dr. Chanda has 6 years of experience working with three major American electricity distribution\u00a0companies and two US Department of Energy national laboratories. Dr. Chanda has filed for three\u00a0<\/span>patents in cloud computing for the power grid. He has published more than 15 peer-reviewed\u00a0<\/span>papers in high-impact power systems journals. His research interests are focused on improving\u00a0<\/span>power systems simulation methods, load forecasting, and clean energy technologies to increase\u00a0<\/span>energy security and resilience for every individual on Earth.<\/span><\/p>\n

He received his master\u2019s and Ph.D. degrees from Washington State University, USA. He is a Member\u00a0of IEEE and has served as Vice-Chair of the IEEE Young Professionals Society and contributing\u00a0<\/span>member of the IEEE USA Energy Policy Committee. As an entrepreneur, Dr. Chanda has been\u00a0<\/span>successful in bringing two Cleantech startups to the market. He is also the co-author of a\u00a0<\/span>forthcoming title, \u2018Resilience of Smart Grid\u2019 by Wiley, UK.<\/span><\/p>\n

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Mr. Pranav Raikote, Senior AI Researcher, Plexflo Grid Analytics, Boulder, Colorado<\/b><\/p>\n

\"\"Brief Description :\u00a0<\/span>Pranav Raikote is a Senior AI Researcher at Plexflo, with several years of experience in the field of\u00a0artificial intelligence and ML applications in the power industry. His work has been used in the\u00a0<\/span>industry for improving classical load forecasting applications for utilities in the US. He played a role in\u00a0<\/span>developing managed EV-charging programs in large fleets, estimating regional rooftop solar\u00a0<\/span>generation potential using satellite imagery, and methods for automated GIS tracking of utility poles\u00a0<\/span>using video streams from patrol vehicles. Pranav and his team at Plexflo have been working on\u00a0<\/span>Large-Language Models and Generative AI for several years and have contributed to high-impact\u00a0<\/span>projects and research work. Pranav is a sought-after speaker in many local industry\/academic\u00a0<\/span>conferences and student entrepreneurship competitions. In his free time, Mr. Raikote is a prolific\u00a0<\/span>contributor to open-source software and writes technical blogs on a variety of AI Topics, sharing his\u00a0<\/span>thoughts with the world. He also enjoys wildlife photography and is working on building his\u00a0<\/span>portfolio.<\/span><\/p>\n

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Abstract:\u00a0<\/strong>Generative AI enables systems to create high-value artifacts, such as video, narrative, training data and even designs and schematics. In this tutorial we will show how these capabilities can be used in Power Systems to create constrained simulation models, synthetic data for machine learning applications, etc. We propose a 3-hour session, with two 30-min hands on workshop or live demo sessions of the new technology.<\/p>\n

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Outline:<\/strong><\/p>\n

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        1. Introduction to Generative AI<\/b><\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                1. Problem? What? Impact?<\/li>\n
                2. GANs, VAEs, other Autoregressive models<\/li>\n
                3. Applications and famous architectures<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                        1. Applications of \u201cTransformers\u201d<\/b><\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                                1. Real-world impact \u2013 Show examples of how transformers work in other domains like vision, music, and language generation, speech recognition, Music Generation, etc.<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                                        1. Training and Evaluating Transformer<\/b><\/em><\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                                                1. Demo the Shakespeare MinGPT<\/li>\n
                                                2. Data aspect, HyperParams aspect, Compute aspect<\/li>\n
                                                3. Fine-tuning for Downstream tasks<\/li>\n
                                                4. Evaluation metrics and processes<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                                                        1. Applications in Power Systems<\/li>\n<\/ol>\n<\/li>\n<\/ol>\n

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                                                          Duration :\u00a0<\/strong>3 hours with 2 hours of lecture and 1 hour of hands-on training\u00a0<\/p>\n

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                                                          Title : \u201cGreen Hydrogen: An Ideal Source for Safe and Reliable Energy for World\u201d <\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                                                          Abstract :\u00a0<\/b>Green Hydrogen has enormous potential for paradigm shift in the energy sector to fulfill the energy need of todays and also for future of entire world. On the same time Green hydrogen is able to provide its unstinted support and play a critical role in helping the world to reach net zero emissions and making our planet earth safe and secure for coming generations. In this keynote participants will have an in-depth knowledge exchange on the entire value chain of Green hydrogen including generations, storage, distribution and its safety practice.<\/div>\n
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                                                          \"\"Brief Bio<\/b>: Dr. Sanjeet Kumar Dwivedi is Fellow of IET (UK) & working as Senior Technology Leader in Green Hydrogen Danish MNC Everfuel A\/S. Prior to this he was Senior Research Leader at Danfoss, Denmark from 2008 to 2021. Prior to this, Dr. Sanjeet was an electrical engineer in Larsen and Toubro, an infrastructure company in India (1991-92), Electrical Engineer in CPWD, Government of India (GoI). He worked as senior faculty member of the Department of Technical Education, MP, India (1993-2006) and Dean R&amp;D, Government Engineering College SAGAR MP India(2006-2008)

                                                          Dr Sanjeet has awarded with two master degrees, first one from IIT Roorkee, ME (Gold Medal) in Power Apparatus and Drives and second one from South Denmark University, M.Sc. Engineering in Innovation and Business. He has completed his Ph.D. degree in Green Technologies from IIT Delhi India. Dr. Sanjeet also completed his executive leadership education from MIT Boston.

                                                          He was honored with adjunct professor at Curtin University, Perth, Australia (2016-18). Dr Sanjeet is Member of Faculty board of South Denmark University in the Innovation and Business department. Dr. Sanjeet has authored more than 40 technical papers and holds 11 international patents, three business trade and three books engineering research books published from Academic Press (UK) and IET Press (UK). He is an advisory board member of of International Journal of Power Electronics (IJPE), Associate Editor of the IEEE Transaction on Industrial Electronics (IEEE TIE). He has given invited presentations, organized and chaired special sessions in several IEEE and European Power Electronics conferences around the globe.

                                                          He is a recipient of Merit Award from Institution of India IE(I) (2006) for his research publication on permanent magnet machines. He was also awarded with 9th Man on the Moon Global Innovation Award from the CEO and President of Danfoss (2015) and another prestigious recognition as winner of IETE-Bimal Bose Award (2017) for outstanding contribution in power electronics and drive.<\/div>\n<\/div>\n

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                                                          Title: Power System Reliability Assessment Emphasizing Generating Capacity Reliability Evaluation\n\n\n<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                                                          \"\"Brief Description:<\/b>This tutorial shall present the fundamental concepts of power system reliability and cost\/worth evaluation, with special emphasis on generating capacity reliability assessment. The basic methodology for evaluating generating system reliability is to develop probability models for capacity on outage and for load demand, and calculate the probability of loss of load by a convolution of the two models. This calculation can be repeated for all the periods (e.g., weeks) in a year considering the changes in the load demand, planned outages of units, any unit additions or retirements, etc. The methods available to compute generating system reliability indices shall be covered in this module.<\/p>\n

                                                          Brief Biographical Sketch: Lalit Goel obtained his Bachelor\u2019s Degree in electrical engineering from the Regional Engineering College, Warangal, India in 1983, and his MSc and PhD degrees in electrical engineering from the University of Saskatchewan, Canada, in 1988 and 1991 respectively. He joined the School of EEE at the Nanyang Technological University (NTU), Singapore, in 1991 where he is presently a professor of power engineering. He served as the Head of the Division of Power Engineering from July 2005 to August 2008, Deputy Director of NTU’s Protective Technology Research Center (PTRC) from May 1999 to April 2007, Dean of Admissions & Financial Aid from July 2008 to June 2012, Director Undergraduate Education (Projects) in the President’s Office from Jan 2013 to Dec 2015, Director of the Office of Global Education and Mobility from October 2014 until March 2018, and Director of India Connect @NTU program from July 2020 until June 2022. Since April 2018, Dr Goel has been serving as the Director of the Renaissance Engineering Programme (REP). He received the 1997 & 2002 Teacher of the Year Awards for the School of EEE, \u201cBest Teacher of Year 2\u201d awards for 1999\/2000, 2000\/2001, 2001\/2002, 2005\/06 and 2009\/2010, and the \u201cBest Teacher of Year 3\u201d awards for 2001\/2002 and 2002\/03. Dr Goel served as conference Chair for several power engineering conferences in Singapore. Dr Goel received the IEEE PES Singapore Chapter Outstanding Engineer Award in 2000, and the IEEE PES Outstanding Power Engineering Educator Award in 2009. Dr Goel served as the Editor for the International Journal of Electric Power Systems Research (EPSR) from 2002 to 2019. Dr Goel served as the IEEE Singapore Section Chair from January 2007 to December 2008, and as the Asia-Pacific Representative on the IEEE PES Governing Board from 2011 to 2016. Dr Goel is a Fellow of the IEEE. He has published more than 195 international journal and conference papers in the areas of power system reliability, cost\/benefit assessment, power markets and renewables.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t

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                                                          Title : Battery Digital Twin for Performance Optimization<\/h4>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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                                                          Abstract:\u00a0<\/b>Battery digital twin can be used for optimizing the battery pack performance, increase its lifetime and ensure operational safety by using data driven modelling and control algorithms. This talk will cover:<\/div>\n
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                                                          • Battery modelling from simplicity to precision<\/li>\n
                                                          • Uncertainty aware battery temperature prediction<\/li>\n
                                                          • Battery degradation and aging mechanisms<\/li>\n
                                                          • Lifetime extension charging algorithms<\/li>\n
                                                          • Battery management system’s\u00a0role in performance optimization.<\/li>\n<\/ul>\n
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                                                            \"\"Brief\u00a0Bio<\/b>: Dr. Pallavi Bharadwaj is an Assistant Professor at the Indian Institute of Technology, Gandhinagar. She has previously served as a Faculty in Aalborg University,\u00a0Denmark. She completed her Postdoctoral Research at Massachusetts Institute of Technology (MIT), USA in 2021 after receiving her Ph.D. from Indian Institute of Science (IISc), Bengaluru, India in 2019. Pallavi is a Gold Medalist for her industrial training and has received several awards including POSOCO Power System Award, Bhaskara Advanced Solar Energy Indo-US fellowship and serves in several National and International Technical Committees since 2017. She is very passionate about sustainability and strives towards engineering optimized solutions for global energy needs. Her research interests broadly include design and control of renewable power conversion systems; modelling and optimization of energy storage solutions; physics inspired AI for smart power electronics towards net zero transition.<\/div>\n<\/div>\n\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t<\/section>\n\t\t\t\t<\/div>\n\t\t","protected":false},"excerpt":{"rendered":"

                                                            Tutorials Title: Generative AI Applications for Power Systems Dr. Anurag Sharma, Assistant Professor, Newcastle University, UK Brief Description :\u00a0Dr. Anurag Sharma (Member, IEEE) received his Ph.D. degree from the Department of Electrical and\u00a0Computer Engineering, National University of Singapore. He is currently Degree Programme Director\u00a0for MSc in Electrical Power Engineering at Newcastle University (UK), Singapore campus. […]<\/p>\n","protected":false},"author":1,"featured_media":0,"parent":0,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","meta":{"footnotes":""},"class_list":["post-579","page","type-page","status-publish","hentry"],"_links":{"self":[{"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/pages\/579","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/comments?post=579"}],"version-history":[{"count":32,"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/pages\/579\/revisions"}],"predecessor-version":[{"id":751,"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/pages\/579\/revisions\/751"}],"wp:attachment":[{"href":"https:\/\/event.kiit.ac.in\/STPEC2023\/wp-json\/wp\/v2\/media?parent=579"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}