Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems 1st Edition

Artificial Intelligence-Empowered Modern Electric Vehicles in Smart Grid Systems — 1st Edition by Aparna Kumari and Sudeep Tanwar

Harness the future of mobility and energy with a compelling guide that connects cutting-edge AI with the rapidly evolving world of electric vehicles (EVs) and smart grids. This book immediately draws you into the critical junction where machine learning, edge computing, and vehicle-to-grid (V2G) technologies transform urban mobility and grid resilience across smart cities worldwide.

Inside, readers will find clear, practical explanations of AI-driven solutions for charging optimization, demand forecasting, real-time energy management, cybersecurity for EV-grid interfaces, and sustainable integration of renewables. Through case studies and applied algorithms, the authors translate complex concepts—reinforcement learning, deep learning, IoT sensing—into actionable strategies for utilities, EV manufacturers, researchers, and policymakers.

Whether you are an engineer designing charging infrastructure, a researcher modeling grid behavior, or a planner shaping sustainable transport in North America, Europe, India or emerging smart-city markets, this book delivers both technical depth and real-world relevance. It highlights regulatory considerations, scalability challenges, and performance metrics that matter to stakeholders across regions.

A must-have reference for professionals and advanced students, this 1st Edition equips you to design smarter charging systems, improve grid stability, and accelerate the low-carbon transition. Secure your copy to stay ahead in the intersection of artificial intelligence, modern electric vehicles, and smart grid systems—an essential resource for anyone shaping tomorrow’s energy and mobility landscape.

Note: eBooks do not include supplementary materials such as CDs, access codes, etc.