Publisher's Synopsis
The Science of AI for Energy Storage presents a comprehensive exploration of the intersection between artificial intelligence and energy storage technologies. This book provides a detailed analysis of energy storage systems, including mechanical, electrochemical, chemical, electrical, and thermal solutions, while emphasizing the transformative role of AI and machine learning in optimizing these technologies. By integrating foundational principles with cutting-edge advancements, the book delivers a robust framework for understanding the design, application, and sustainability of modern energy storage systems. Written in the author's hallmark conversational yet scientifically rigorous style, the work bridges the gap between theory and practice, offering invaluable insights for energy professionals, engineers, policymakers, and academics. Explores the transformative role of artificial intelligence and machine learning in optimizing energy storage systems, including batteries, supercapacitors, and pumped hydro storage. Examines a wide range of storage technologies—mechanical, electrochemical, chemical, electrical, and thermal—ensuring a thorough understanding of current and future solutions. Highlights the role of energy storage in achieving sustainability goals and addresses the challenges of integrating AI to meet growing global energy demands efficiently.
