Smart Energy and Electric Power Systems: Current Trends and New Intelligent Perspectives

ISBN-13: 9780323916646 / Angielski / Miękka / 2022

Sanjeevikumar Padmanaban; Jens Bo Holm-Nielsen; Kayal Padmanandam

Spis treści

1. Introduction: Artificial intelligence and Smart Power Systems
2. Integrated Architecture of Machine Learning and Smart Power System
3. Challenges and issues in Power Systems
4. Load shedding and related techniques to solve the power crisis
5. ML in distributed energy resources and prosumers market
6. ML-based electricity demand prediction
7. Applying ML to determine the power outage
8. Predictive and Prescriptive analytics for component fault detection
9. Balancing demand and supply of electricity with machine learning
10. Preventive care of grid hardware with anomaly detection
11. AI-based Smart feeder monitoring system
12. Algorithms for buss loss and reliability indices calculations
13. ML-based security solutions to protect smart power systems
14. Cyber-attacks ,security data detection, and critical loads in the power systems
15. Integration of AI/ML into the energy sector: Case Studies

O autorze

Padmanaban Sanjeevikumar is a Full Professor in Electrical Power Engineering with the Department of Electrical Engineering, Information Technology, and Cybernetics, University of South-Eastern Norway, Norway. He has over a decade of academic and teaching experience, including Associate/Assistant Professorships at the University of Johannesburg, South Africa (2016-2018), Aalborg University, Denmark (2018-2021) and the CTIF Global Capsule Laboratory at Aarhus University, Denmark (2021-present). Prof. Sanjeevikumar received a lifetime achievement award from Marquis Who's Who - USA 2017 for contributing to power electronics and renewable energy research, and was listed among the world's top 2% of scientists by Stanford University, USA in 2019. Dr Jens Bo Holm-Nielsen is Associate Professor and Head of Center for Bioenergy and Green Engineering, Aalborg University, Aalborg, Denmark Dr.Kayal Padmanandam has over a decade of credentials in the domain of Computer Science with wide exposure through teaching, research, and industry. She is passionate about research and specialized in Data Science and Machine Learning Algorithms in which she pursued her doctoral research. She has several publications especially related to machine-learning applications. She is a post-graduate/graduate educator for Engineering and Science scholars. Currently, she is working as an Associate Professor in the Department of Information Technology and as a Member of the Research & Development Cell, BVRITH College of Engineering, Hyderabad, India. Dr Rajesh Kumar Dhanaraj is a Professor in Symbiosis International (Deemed University), Pune, India. Prior to this assignment he was Professor, School of Computing Sciences & Engineering, Galgotias University, Greater Noida, India. He received the B.E. degree in Computer Science and Engineering from the Anna University Chennai, India in 2007 and the M.Tech from the Anna University Coimbatore, India in 2010 and Ph.D. degree in Computer Science from Anna University, Chennai, India, in 2017. He has contributed 45+ Authored and Edited books on various technologies, 21 Patents and 90+ articles and papers in various refereed journals and international conferences and contributed chapters to the books. He has collaborated with eminent professors across the world from top QS ranked university. His research interests include Machine Learning, Cyber-Physical Systems and Wireless Sensor Networks. He is a Senior Member of the Institute of Electrical and Electronics Engineers (IEEE), member of the Computer Science Teacher Association (CSTA); and International Association of Engineers (IAENG). He is serving as an Associate Editor and Guest Editor for reputed journals Elsevier Computers and Electrical Engineering, Human-centric Computing and Information Sciences, Emerald - International Journal of Pervasive Computing and Communications, Hindawi - Mobile Information Systems, etc. He is an Expert Advisory Panel Member of Texas Instruments Inc USA. Dr Balamurugan Balusamy is currently working as an Associate Dean Student in Shiv Nadar Institution of Eminence , Delhi-NCR. His Academic degrees and twelve years of experience working as a Faculty in a global University like VIT University, Vellore has made him more receptive and prominent in his domain. He does have 200 plus high impact factor papers in Springer, Elsevier and IEEE. Prof. Balamurugan Balusamy has served up to the position of Associate Professor in his stint of 15 years of experience with VIT University, Vellore. He had completed his Bachelors, Masters and PhD Degrees from Top premier institutions from India. His passion is teaching and adapts different design thinking principles while delivering his lectures. He has published 80+ books on various technologies and visited 15 plus countries for his technical course. He has several top-notch conferences in his resume and has published over 200 of quality journal, conference and book chapters combined. He serves in the advisory committee for several start-ups and forums and does consultancy work for industry on Industrial IOT. He has given over 195 talks in various events and symposium.