Elsevier Energy Storage Technologies: Pathways to a Sustainable Future

Energy Storage Technologies: Pathways to a Sustainable Future responds to the fragmented landscape of existing literature, offering researchers, engineers, and educators an authoritative guide that bridges scientific fundamentals with emerging interdisciplinary advances, including artificial intelligence, optimization, and system integration. The book's contents span the full spectrum of energy storage mechanisms, from electrochemical batteries and hydrogen storage to thermal, mechanical, and hybrid systems. Dedicated chapters cover AI-driven management, mathematical and data-driven optimization, smart grid integration, materials innovation, cybersecurity, and policy frameworks. Each chapter is designed for modular use, with clear definitions, methods, case studies, and future outlooks that support both academic instruction and professional development. The reference equips its audience with the latest technical knowledge, practical applications, and strategic insights. It empowers users to innovate, deploy, and manage energy storage systems that advance sustainability, resilience, and affordability in global energy infrastructures. Explores advanced energy storage methods, including solid-state batteries and hydrogen to thermal, hybrid, and next‑gen materials, offering a complete spectrum of established and emerging solutions Integrates artificial intelligence by exploring machine learning for predictive maintenance, charging strategies, system design, and performance breakthroughs Presents system-level analysis of storage integration with smart grids and renewable energy Addresses sustainability, safety, and material innovation for next-generation storage solutions