Sri Niwas Singh – författare

This book focuses on various challenges, solutions, and emerging technologies in the operation, control, design, optimization, and protection of microgrids in the presence of hybrid renewable energy sources and electric vehicles. This book provides an insight into the potential applications and recent development of different types of renewable energy systems including AC/DC microgrids, RES integration issues with the grid, electric vehicle technology, etc. The book serves as an interdisciplinary platform for the audience working in the focused area to access information related to energy management, modeling, and control. It covers fundamental knowledge, design, mathematical modeling, applications, and practical issues with sufficient design problems and case studies with detailed planning aspects. This book will serve as a guide for researchers, academicians, practicing engineers, professionals, and scientists, as well as for graduate and postgraduate students working in the areaof various applications of RES, Electric Vehicles, and AC/DC Microgrid. 

This book features high-quality research papers presented at the International Conference on Computational Intelligence and Smart Technologies in Electrical Engineering (CISTEE 2023). The book offers cutting-edge solutions and applications for predictive modeling and sustainable development of power and energy systems with the application of computational intelligence and smart technologies. It discusses the use of different practical developments. The book discusses practical developments and consolidates the insights of leading experts in power and energy, focusing on the technical, social, and economic aspects of sustainable solutions. This book is well-suited for students and researchers with its comprehensive knowledge.

This volumes comprises select proceedings of the International Conference on Computational Intelligence in Machine Learning (ICCIML 2022). The contents cover latest research trends and developments in the areas of machine learning, smart cities, IoT, Artificial Intelligence, cyber physical systems, cybernetics, data science, neural network, cognition, among others. It also addresses the comprehensive nature of computational intelligence, AI, ML and DL to emphasize its character in modelling, identification, optimization, prediction, forecasting, and control of future intelligent systems. This volume will be a useful guide to those working as researchers in academia and industry  by presenting in-depth fundamental research contributions from a methodological/application perspective in understanding Artificial intelligence and machine learning approaches and their capabilities in solving diverse range of problems in industries and its real-world applications.