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This book comprises a selection of papers presented at the International Conference of Sustainable Electrical Engineering and Intelligent Systems (ICSEEIS 2025). It presents a rich repository of groundbreaking research at the intersection of artificial intelligence and electrical engineering for a sustainable future.

The papers in this collection touch upon a wide array of topics including developments in smart grid technologies, machine learning applications for power system optimization, and the integration of renewable energy. This volume also provides an in-depth analysis of intelligent control systems, energy efficiency, and the use of AI to solve the problems of sustainable energy management. Readers can expect to find the latest advances in fault detection, predictive maintenance, and the creation of strong and resilient electrical infrastructure in this book. The findings would be instrumental in fostering a deeper understanding of intelligent and sustainable electrical systems and building a firm knowledge base for further innovation.

This is a valuable resource for researchers, engineers, and professionals in the field of computer science and electrical engineering. It offers state-of-the-art research and useful solutions to those interested in creating and putting into practice intelligent and sustainable energy solutions.

This book comprises a selection of papers presented at the International Conference of Sustainable Electrical Engineering and Intelligent Systems (ICSEEIS 2025). It presents a rich repository of groundbreaking research at the intersection of artificial intelligence and electrical engineering for a sustainable future.

The papers in this collection touch upon a wide array of topics including developments in smart grid technologies, machine learning applications for power system optimization, and the integration of renewable energy. This volume also provides an in-depth analysis of intelligent control systems, energy efficiency, and the use of AI to solve the problems of sustainable energy management. Readers can expect to find the latest advances in fault detection, predictive maintenance, and the creation of strong and resilient electrical infrastructure in this book. The findings would be instrumental in fostering a deeper understanding of intelligent and sustainable electrical systems and building a firm knowledge base for further innovation.

This is a valuable resource for researchers, engineers, and professionals in the field of computer science and electrical engineering. It offers state-of-the-art research and useful solutions to those interested in creating and putting into practice intelligent and sustainable energy solutions.

This book presents mathematical models of various renewable energy sources (RESs) such as wind energy systems, solar PV systems, battery energy storage systems, pumped-storage hydropower, biomass, and electric vehicles (EVs). It also discusses the challenging task of the integration of high penetration of renewable energies and EVs within existing power systems. The uncertainty related to RESs, electric vehicle charging, and load demands is also modelled. 

The book provides illustrative and comprehensive practical case studies to enable a complete understanding of the proposed methodologies. This book will consider the nuances of all these new paradigms, smart grid components, technology, and the impact of energy storage, EVs, and distributed energy resources, in the power networks.

This book provides a comprehensive exploration of cutting-edge research in electric vehicles (EVs) integrated smart energy systems with a main focus on the application of artificial intelligence (AI). This book offers a wide and comprehensive practical approach with the applications of AI to address the challenges and opportunities of modern hybrid energy systems for developing advanced hybrid intelligent methodologies for forecasting and scheduling variable power output from renewable energy sources (RESs) and EVs. This will enhance system flexibility and facilitate the integration of RESs and EVs efficiently, which is a step towards a sustainable future. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), Internet of Things (IoT), Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc.

This book aims to provide insights into various suitable solutions to increase the security, reliability, and interoperability of the grid under high penetration of renewable energy, storage systems, and electric transport in the context of the modern smart grid. The multi-objective optimization problems such as economic and emission dispatch problems; flexibility and reliability problems; and economic and reliability problems are solved to determine the trade-off solutions using efficient evolutionary algorithms. The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML), IoT, Cybersecurity, and their applications in modern power and energy systems, intelligent control of power electronics for RESs and EVs, intelligent charging management of EVs, etc.

This book features papers from the International Conference on Sustainable Power and Energy Research, ICSPER 2024. Covering the spectrum of power and energy, it focuses on various aspects of emerging technologies, research ideas, real-time experiences, and understanding of technology utilization in electrical power and energy systems. The book introduces new ideas in Power system stability, Operation, and Control; Renewable energy resources and energy storage; Power electronics drives and Electric vehicles; Smart grid and wide area monitoring; Data science applications and cyber security in power systems; Energy market and deregulation; Power System Protection; Condition monitoring and HV engineering; Soft computing Techniques in electrical engineering; Power electronic applications in power systems.