Surender Reddy Salkuti - Böcker

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).

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).

font-family: 'Times New Roman',serif;">The chapters cover diverse topics offering valuable knowledge and methodologies including an introduction to Artificial Intelligence (AI), Machine Learning (ML),

This book presents different aspects of renewable energy-based electric vehicle (EV) integration into the grid system. In this book, different challenges during the integration of EVs to the grid are discussed. Further, by enabling EVs to act as distributed energy storage units in a grid system, how to improve grid stability and reduce the risk of outages by providing critical support to the grid during peak demand periods and periods of renewable energy intermittency are also discussed. This book emphasizes various schemes for data privacy and cybersecurity during the integration of EVs into the grid. It also discussed how plug-in hybrid electric vehicles (PHEVs) can help reduce energy demand during peak hours and earn revenue for owners. This book presents the application of artificial intelligence (AI), machine learning (ML), and the Internet of Things (IoT) in the seamless integration of renewable energy-based EVs into the grid. This book leads toward cost-effective and environmentally benign utilization of a future energy system portfolio by providing a cyber-enabled sustainable pathway toward deep integration of intelligent decision-makers in the renewable energy-based EV into the grid system. This book is an effort to educate the next generation of academicians, researchers, and industry personnel with proficient analytics and improve national energy sustainability.

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.

This book provides a brief insight of various challenges and its mitigation techniques in microgrid due to power quality (PQ) issues.