Smart Grids

Harnessing IoT and AI for Power Systems
Erscheinungsjahr 2027
ISBN: 978-3-032-44445-5
Verlag: Springer

Buch, Englisch, 449 Seiten, Format (B × H): 155 mm x 235 mm

Reihe: Power Systems

This comprehensive guide examines the technologies transforming modern power infrastructure. It offers in-depth knowledge of how the integration of the Internet of Things (IoT) and Artificial Intelligence (AI) enhances grid efficiency, reliability, and sustainability. Through real-world case studies and expert analysis, readers will learn how smart sensors, machine learning algorithms, and automated decision-making are changing how power is generated, distributed, and consumed. This book empowers readers to navigate the evolving energy landscape and utilize AI-driven IoT solutions for a smarter, more resilient grid.

provides professionals, researchers, and students with insights into predictive maintenance, real-time grid monitoring, and energy optimization. It serves as an essential guide for staying ahead in the field of intelligent power systems.

Zielgruppe

Research

Autoren/Hrsg.

Vijayalakshmi, S.

Yogarayan, Sumendra

Joseph, Alwin

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Energieverteilung, Stromnetze
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Technische Wissenschaften Elektronik | Nachrichtentechnik Elektronik
• Sozialwissenschaften Politikwissenschaft Regierungspolitik
• Technische Wissenschaften Energietechnik | Elektrotechnik Alternative und erneuerbare Energien
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Kybernetik, Systemtheorie, Komplexe Systeme

Inhaltsverzeichnis

Introduction: Evolution and Future Prospects of Smart Grids.- Recent Advances in Sensor Technologies: Foundations of Smart Grid Solutions.- Graph-based Machine Learning for Grid Topology Analysis.- Artificial Intelligence for Anomaly Recognition in Smart Grid.- Explainable AI Techniques for Load Disaggregation in Smart Meter Data Analysis.- Comparative Analysis on Selection of Hidden Neurons on BPNN, RBFNN and ANFIS Network Models for Wind Speed Prediction in Renewable Energy Systems.- AI-driven Demand Response for Residential Energy Management.- Optimization Techniques for Grid Resource Allocation in Power System.- Reinforcement Learning with Multi-Agent for Planning of Distributed Grid.- Decentralized Control Strategies for Microgrid Management.- Swarm Intelligence for Electric Vehicle Charging Coordination.- Vehicle-to-Grid (V2G) Integration Using AI and IoT Frameworks.- Blockchain-enabled Peer-to-Peer Energy Transaction in Community Microgrids.- Decentralized Energy Management Using Blockchain and Swarm Intelligence.- Enhanced Power System Reliability through AI-Powered Fault Diagnosis and Detection in Smart Grids.- Resilient Smart Grids: AI Techniques for Fault Tolerance and Self-Healing.- Enhancing Grid Resilience: Adversarial Machine Learning in Detection of Cyber-attack.- Agent-based Modelling for Policy Impact Assessment in Smart Grid Deployment.

Über Autor(innen)

S. Vijayalakshmi, Ph.D., is a Professor in the Department of Computer Science, CHRIST (Deemed to be University), Pune Lavasa Campus, where she holds several academic portfolios. She received her bachelor’s degree in computer science in 1995 and her Master of Computer Applications in 1998 from Bharathidasan University, Tiruchirappalli. Dr. Vijayalakshmi completed her Master of Philosophy in 2006 and her Ph.D. from Mother Teresa Women’s University, Kodaikanal, in 2014. With nearly 25 years of academic experience, her research focuses on image processing and the Internet of Things. She has published more than 100 research articles, over 50 book chapters, and several books, and holds more than 30 published patents. Her work has received Best Paper Awards in 2021, 2022, and 2023 and a Best Presenter Award at Curtin University in 2025. She is a member of academic bodies including ACM, IEEE, IAENG and IFERP, serves as a reviewer for many journals and conferences, and has guided five Ph.D. scholars, with two currently under her supervision. 

Sumendra Yogarayan, Ph.D., is an Assistant Professor and Deputy Dean (Postgraduate and Collaborations) at the Faculty of Information Science and Technology (FIST), Multimedia University (MMU), Malaysia. He obtained a Ph.D. in Information Technology from Multimedia University (MMU), Malaysia, in 2023. He is also a registered Professional Technologist (Ts.) with the Malaysian Board of Technologists (MBOT) and a member of the International Association of Engineers (IAENG). His research and teaching interests include intelligent transportation systems, wireless communication, ad hoc networks, machine learning, the Internet of Things, embedded devices, and sensors.

M. Savithri, Ph.D., is currently an Assistant Professor in the Department of Computer Science at CHRIST University Pune Lavasa Campus. She holds 18 years of teaching and 12 years of research experience. Her research areas include network security and data science. She has published more than 30 research articles in peer-reviewed and Scopus-indexed journals, more than 20 research articles in conferences, and holds two patents. She has published 12 book chapters and two edited books. Dr. Savithri has guided six MPhil scholars. She is a member of professional bodies such as IAENG, IEEE, and ICSSR. She is a passionate teacher and constant learner.

Alwin Joseph, Ph.D., is an Assistant Professor in the Department of Computer Science, CHRIST University, Pune Lavasa Campus. He also serves as Technology Officer at CHRIST Infotech, the university’s software research and development centre, and part of the Centre for Artificial Intelligence. He holds an MCA and a Ph.D. in Computer Science. His expertise covers artificial intelligence, deep learning, full-stack web application development, and IoT solutions, and his current research focuses on model compression and edge deployment, multimodal fusion with missing modalities, and multi-agent systems orchestrated by large language models. He has published Scopus-indexed research articles and book chapters and holds eight patents in AI applications. He regularly serves as a resource person at international and national workshops and faculty development programmes.