Artificial Intelligence and Machine Learning for Sustainable Power Systems: Efficiency, Decarbonization, and Innovation
Editat de Divya Asija, Tapsi Nagpal, R.K. Viralen Limba Engleză Hardback – 31 mar 2027
Features:
- Highlights the transformative role of artificial intelligence and machine learning in modern power systems, focusing on critical advancements like predictive maintenance for minimizing downtime, and energy distribution optimization to reduce losses.
- Addresses the integration of renewable energy through advanced artificial intelligence models for solar and wind forecasting, ensuring grid stability while meeting decarbonization goals.
- Showcases how explainable artificial intelligence techniques, such as decision trees, feature importance analysis, and interpretable neural networks, make artificial intelligence decisions understandable and reliable for safety-critical applications.
- Discusses the role of artificial intelligence in facilitating the seamless integration of renewable energy sources into traditional power networks, addressing key challenges in the transition to sustainable energy.
- Focuses on machine learning techniques to optimize energy storage systems, improve battery management, and maximize renewable energy utilization.
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Specificații
ISBN-13: 9781041194330
ISBN-10: 1041194331
Pagini: 280
Ilustrații: 98
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
ISBN-10: 1041194331
Pagini: 280
Ilustrații: 98
Dimensiuni: 156 x 234 mm
Ediția:1
Editura: CRC Press
Colecția CRC Press
Public țintă
Academic, Postgraduate, and Undergraduate AdvancedCuprins
Chapter 1. AI and ML in Power Sector Transformation. Chapter 2. Data Foundations for AI Applications in Power Systems. Chapter 3. Machine Learning for Renewable Energy Integration. Chapter 4. Artificial Intelligence for Grid Enhancement and Load Regulation. Chapter 5. Smart Grid Innovations with Artificial Intelligence. Chapter 6. Artificial Intelligence for Sustainable Energy Policy and Decarbonization: Aligning Technology Innovation with Global Development Goals. Chapter 7. Predictive Maintenance and Asset Management: The Transformative Role of Artificial Intelligence in Power Infrastructure. Chapter 8. AI-Powered Cybersecurity in the Power Sector. Chapter 9. Advanced AI Techniques for Decarbonised Energy Markets. Chapter 10. Demand Forecasting of a Printing Plant Using Artificial Intelligence Techniques
Notă biografică
Divya Asija is an Associate Professor in the Department of Electrical & Electronics Engineering, Amity School of Engineering and Technology (ASET), Amity University, Noida, India, where she has been serving as a faculty member since 2012. She has more than 20 years of teaching experience across various prestigious institutions and universities.
She completed her Ph.D. from Amity University, Noida, and her postgraduate studies from YMCA, Faridabad. Her multidisciplinary research interests encompass Power Systems, Renewable Energy Resources, Distributed Generation, Smart Grids, Electric Vehicles, Artificial Intelligence and Machine Learning (AI/ML), and Data Science.
She has filed five patents and has been involved in various funded projects supported by government and private agencies. She is the author/co-author of more than 75 research papers and book chapters published in reputed international journals, conferences, and edited volumes. She has also published three edited books with leading international academic publishers, contributing to the dissemination of contemporary research in emerging areas of engineering and technology.
She is an active reviewer for several international journals, including Energy, International Journal of System Assurance Engineering and Management, International Journal of Emerging Electric Power Systems (De Gruyter), International Journal of Electrical and Computer Engineering (IAES), Journal of Electrical Engineering & Technology, and International Journal of Renewable Energy Research.
Dr. Asija has actively contributed to academic and professional activities as an invited expert and resource person, delivering expert lectures and technical sessions in Faculty Development Programmes (FDPs), workshops, training programmes, and academic events. She has also served as a session chair/co-chair and technical committee member in international conferences, contributing to scholarly discussions and research dissemination.
In recognition of her contribution to academic peer review, she received the Outstanding Contribution in Reviewing Award from Energy, Elsevier, for the academic years 2017–18 and 2018–19. She was also a Gold Award winner for courseware creation using Moodle for outcome-based education and ethical commitment.
Tapsi Nagpal is currently a Professor in the Department of Information Technology at New Delhi Institute of Management (NDIM), New Delhi. She holds a doctorate in Transformer Fault Diagnosis Systems from Thapar University, Patiala, along with undergraduate and postgraduate degrees from PTU, Jalandhar. With extensive academic experience, she has made significant contributions to teaching, research, and academic development.
Her research contributions include publications in reputed peer-reviewed journals and book chapters, along with national and international patents. She has served as a session chair, keynote speaker, resource person, and reviewer for various national and international conferences and reputed journals associated with IEEE, and Elsevier. She has also delivered expert talks internationally and actively contributed to seminars, workshops, faculty development programmes, and technical conferences. Her academic interests encompass emerging technologies, engineering education, research, and technology-driven applications.
R. K. Viral, presently working as an Associate Professor in Department of Electrical & Electronics Engineering, Amity School of Engg. & Tech., Amity University, Noida, UP, INDIA, (Graded by NAAC and ranked 32 in NIRF) from Aug 2017 to till date. Additionally, he has more than 18+ year teaching experience at UG and PG level in various engineering Institutes/University.
He has awarded Doctoral degree from Indian Institute of Technology Roorkee, Roorkee in area of Distributed Generation in 2016. Received his Post graduate degree in Energy Systems also from IIT Roorkee in 2010 and graduated in Electrical Engineering (with honors) from MJP Rohilkhand University, Bareilly in 2003. His research interests include Data Science, Big data analytics, AI/ML and cyber security, Distribution system planning and optimization, Renewable energy system & applications, Small hydro power design, Development, Soft Computing Techniques, Smart grid. He guided three Ph. D, and supervised many M.Tech dissertations.
He has filed more than 22 patents in various multi-disciplinary areas. He has also published more than 160 of research publications in various International/national journals/conferences/Book chapters of repute and peer reviewed. He has served as TPC Member of several international conferences held worldwide. He also is an active member of professional societies i.e. IEEE, PES, ISTE, IEI, IDES, ACEEE, and contributing editorial board member (IJORCS, IJESCE, IJBST etc.) and reviewer of various International Journals. He is a keen learner and research-oriented person.
She completed her Ph.D. from Amity University, Noida, and her postgraduate studies from YMCA, Faridabad. Her multidisciplinary research interests encompass Power Systems, Renewable Energy Resources, Distributed Generation, Smart Grids, Electric Vehicles, Artificial Intelligence and Machine Learning (AI/ML), and Data Science.
She has filed five patents and has been involved in various funded projects supported by government and private agencies. She is the author/co-author of more than 75 research papers and book chapters published in reputed international journals, conferences, and edited volumes. She has also published three edited books with leading international academic publishers, contributing to the dissemination of contemporary research in emerging areas of engineering and technology.
She is an active reviewer for several international journals, including Energy, International Journal of System Assurance Engineering and Management, International Journal of Emerging Electric Power Systems (De Gruyter), International Journal of Electrical and Computer Engineering (IAES), Journal of Electrical Engineering & Technology, and International Journal of Renewable Energy Research.
Dr. Asija has actively contributed to academic and professional activities as an invited expert and resource person, delivering expert lectures and technical sessions in Faculty Development Programmes (FDPs), workshops, training programmes, and academic events. She has also served as a session chair/co-chair and technical committee member in international conferences, contributing to scholarly discussions and research dissemination.
In recognition of her contribution to academic peer review, she received the Outstanding Contribution in Reviewing Award from Energy, Elsevier, for the academic years 2017–18 and 2018–19. She was also a Gold Award winner for courseware creation using Moodle for outcome-based education and ethical commitment.
Tapsi Nagpal is currently a Professor in the Department of Information Technology at New Delhi Institute of Management (NDIM), New Delhi. She holds a doctorate in Transformer Fault Diagnosis Systems from Thapar University, Patiala, along with undergraduate and postgraduate degrees from PTU, Jalandhar. With extensive academic experience, she has made significant contributions to teaching, research, and academic development.
Her research contributions include publications in reputed peer-reviewed journals and book chapters, along with national and international patents. She has served as a session chair, keynote speaker, resource person, and reviewer for various national and international conferences and reputed journals associated with IEEE, and Elsevier. She has also delivered expert talks internationally and actively contributed to seminars, workshops, faculty development programmes, and technical conferences. Her academic interests encompass emerging technologies, engineering education, research, and technology-driven applications.
R. K. Viral, presently working as an Associate Professor in Department of Electrical & Electronics Engineering, Amity School of Engg. & Tech., Amity University, Noida, UP, INDIA, (Graded by NAAC and ranked 32 in NIRF) from Aug 2017 to till date. Additionally, he has more than 18+ year teaching experience at UG and PG level in various engineering Institutes/University.
He has awarded Doctoral degree from Indian Institute of Technology Roorkee, Roorkee in area of Distributed Generation in 2016. Received his Post graduate degree in Energy Systems also from IIT Roorkee in 2010 and graduated in Electrical Engineering (with honors) from MJP Rohilkhand University, Bareilly in 2003. His research interests include Data Science, Big data analytics, AI/ML and cyber security, Distribution system planning and optimization, Renewable energy system & applications, Small hydro power design, Development, Soft Computing Techniques, Smart grid. He guided three Ph. D, and supervised many M.Tech dissertations.
He has filed more than 22 patents in various multi-disciplinary areas. He has also published more than 160 of research publications in various International/national journals/conferences/Book chapters of repute and peer reviewed. He has served as TPC Member of several international conferences held worldwide. He also is an active member of professional societies i.e. IEEE, PES, ISTE, IEI, IDES, ACEEE, and contributing editorial board member (IJORCS, IJESCE, IJBST etc.) and reviewer of various International Journals. He is a keen learner and research-oriented person.
Descriere
This book provides an in-depth exploration of how smart technologies such as artificial intelligence and machine learning are revolutionizing power systems, addressing critical challenges such as operational efficiency, renewable energy integration, and decarbonization.