AI-Powered IoT in the Energy Industry

Dr. S. Vijayalakshm is an Associate Professor in the Department of Data Science at Christ University, India. She served as an Assistant Professor from 1998 to 2013 in the Department of Computer Science and Applications, Gandhigram Rural Institute - Deemed University, India, and in the School of Computing Science and Engineering, Galgotias University, India, from 2013 to 2021. She received her Bachelor's degree in Computer Science in 1995 and Master of Computer Application degree in 1998 from Bharathidasan University, India. She completed her Master of Philosophy in 2006. Dr. Vijayalakshm received her Ph.D. in 2014 from Mother Teresa Women's University, India. Her research area is on image processing and IoT. She has contributed papers to many international and national level conferences and reputed journals, and has published several book chapters. She is also a member of many academic bodies such as IFERP. Dr. Savita Dahiya is a researcher at the School of Computing Science and Engineering, Galgotias University, India. She received a Bachelor of Arts degree from Hindu Girls College, India, in 2007, a Master of Computer Applications degree from SBIT College, India, in 2010, and her Ph.D. from the School of Computing Science and Engineering, Galgotias University. She has published many research papers in the area of medical image processing in international and national conference proceedings and reputed journals, has contributed several book chapters, and serves as a member of many academic committees. Dr. Balamurugan Balusamy is a Professor and Chief Research Coordinator in the School of Computing Science and Engineering, Galgotias University, India. Prior to his current position, he spent 12 years as a member of the faculty at VIT University, India. He has authored or edited more than 30 books on various technologies, has published over 150 journal articles, conference papers, and book chapters, given over 175 talks at events and symposiums, and visited numerous countries for his technical course. He serves on advisory committees for several startups and forums and does consultancy work on Industrial IoT. His research interests focus on engineering education, blockchain, and data sciences. Dr. Rajesh Kumar Dhanaraj is an Associate Professor in the School of Computing Science and Engineering, Galgotias University, India. He holds a Ph.D. degree in Information and Communication Engineering from Anna University, India. He has contributed to more than 20 books on various technologies and over 35 articles and papers in various refereed journals and international conference proceedings. His research interests include machine learning, cyber-physical systems, and wireless sensor networks. He is an Expert Advisory Panel Member with Texas Instruments Inc., USA.

AI and ML Towards Sustainable Solar Energy.- AI and Intermittency Management of Renewable Energy.- AI Impact on Energy and Utilities.- Energy Intelligence - The Smart Grid Perspective.- IoT Towards Leveraging Renewable Energy.- IoT Contribution in Construct of Green Energy.- IoT, Smart Grids, and Big Data - Renewable Energy Insights.- IoT Infrastructure to Energize Electromobility.- Building Sustainable Charging Infrastructure - Smart Solutions.- Biomass Renewable Energy: Introduction and Application of AI and IoT.- Modernization of Rural Electric Infrastructure.- AI and IoT in Improving Resilience of Smart Energy Infrastructure.- Empowering Renewable Energy Using Internet of Things.- Role of Artificial Intelligence in Renewable Energy.- IoT and Sustainable Energy System: Risk and Opportunity.- Powering the Geothermal Energy with AI, IoT, and ML.