Smart Power Systems: Grid Modernization Using AI and IoT-Based Applications
Idioma: inglés
Editorial: Springer, 2025
- Tapa dura
- Nuevo

Librería: Biblios, frankfurt am main, hessen, AlemaniaBiblios
Vendedor de AbeBooks desde 10 de septiembre de 2024
Condición: Nuevo
EUR 271,65
Cantidad disponible: 4 disponibles
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N° de ref. del artículo 18403798641
- Título
- Smart Power Systems: Grid Modernization Using AI and IoT-Based Applications
- Editorial
- Springer
- Año de publicación
- 2025
- Estado
- New
- Encuadernación
- Encuadernación de tapa dura
- Idioma
- inglés
- ISBN 10
- 3031894588
- ISBN 13
- 9783031894589
As the demand for electricity grows, the need for efficient and cleaner energy sources becomes increasingly critical. This book looks at the world of smart power systems, where artificial intelligence (AI) and the Internet of Things (IoT) are revolutionizing traditional power grids. This book covers a wide range of topics, starting with smart grid fundamentals, benefits, and deployment strategies. It explores power system models and the application of AI and IoT in power forecasting and the assembly of smart grids, the benefits and limitations of grid automation, and the use of machine-learning algorithms to identify equipment congestion. Efficient power distribution methods with AI-IoT and ML-based methodologies are explained, along with power quality checking, smart intelligence-based control, and intelligent power and energy management, as well as the role of blockchain technology in creating smart power systems and their potential impact. The book concludes by examining efficient methods for energy price prediction, secure e-payment solutions, fault detection in transmission lines using AI-based methods and algorithms, and optimized storage systems for energy. With practical case studies and real-world examples, this book will help students, researchers, and professionals in electrical engineering, power systems, and renewable energy expand their knowledge and skills in the emerging field of smart power systems and be at the forefront of the energy transition.
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Acerca del autor
Dr. S. Vijayalakshmi is an Associate Professor in the Department of Data Science at Christ University, India. She has more than 20 years of teaching experience. Her research areas are image processing and the Internet of Things (IoT). Dr. Vijayalakshmi received her Bachelor’s degree in Computer Science in 1995 and her Master’s in Computer Application in 1998 from Bharathidasan University, India. She was awarded a Ph.D. in 2014 by Mother Teresa Women’s University, Kodaikanal, India. She has contributed papers to many international journals and international and national conferences. She has authored and edited various books and chapters on technologies such as artificial intelligence, the Internet of Things, deep learning, big data, and blockchain. Dr. Vijayalakshmi has also contributed to many patents on smart robotics, smart assistive devices for visually impaired people, mobile applications for handling road accidents, and swift cane juicers. She is a member of many academic bodies, including ACM, IFERP, and IAENG.
Dr. J. Lekha is an Associate Professor in the Department of Data Science at Christ University, with 16 years of teaching and 12 years of research experience. She received an MSc from the Government Arts College, an MPhil from the VLB Janakiammal College of Arts and Science, and her Ph.D. from the Avinashilingam Institute for Home Science and Higher Education for Women. Her research areas include data mining and network security. Dr. Lekha has published over 40 research articles in international journals and conference proceedings and has two patents. She is a member of several professional bodies, including ACM, IAENG, IRED, and ICSSR, and is a reviewer for the journal Measurement and Control.
Dr. Lija Jacob is an Associate Professor and Head of the Department of Data Science at Christ University. She received her Bachelor’s degree inComputer Science, a Master’s of Computer Application (MCA), and her Doctorate in Computer Science from Bharathiar University. She also received an MPhil from Madurai Kamaraj University. Dr. Jacob has over 19 years of teaching experience and eight years of research experience. Her research interests include computer vision, machine learning, and deep learning. She has secured funding from state and national bodies for her research projects and faculty development program. She has published over 20 papers in international journals and conference proceedings and filed four patents.
Dr. Savita is an Assistant Professor in School of Engineering & Technology , Maharishi University of Information Technology, Noida.
Dr. R. Gunavathi has 24 years of teaching experience, including serving as the Head of the Department for MCA at Sree Saraswathi Thyagaraja College, Pollachi. Currently, she holds the position of Associate Professor at CHRIST (Deemed to be University). Her research interests encompass Advanced Networking, AI and Data Science. Notably, she has successfully supervised 5 Ph.D. scholars and 15 MPhil scholars. Her contributions to academia are significant, with numerous articles published in esteemed International Peer-reviewed, UGC care list, Scopus Indexed, and Web of Science Journals. Her scholarly engagements extend to presenting research papers at various National and International conferences, and she has organized 7 National Level Seminars and Conferences, along with 4 Symposiums. She got funding from National Commission for Women(NCW) and organised 2 days women strategy summit. Beyond academia, she has generously shared her expertise by offering guest lectures and conducting workshops for diverse colleges, fostering knowledge dissemination and growth. Dr. R. Gunavathi's dedication to teaching, research, and guiding aspiring scholars demonstrates her profound commitment to the field of Computer Science.
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