
Advances in AI for Simulation and Optimization of Energy Systems
by: Qasem Abu Al-Haija (Editor), Omar Mohamed (Editor), Wejdan Abu Elhaija (Editor)
Edition: 1st
Publication Date: 2025-03-20
Language: English
Print Length: 196 pages
ISBN-10: 1032858176
ISBN-13: 9781032858173
Book Description
Advances in AI for Simulation and Optimization of Energy Systems explores AI’s groundbreaking role in the future of energy. As the demand for cleaner, more efficient energy systems grows, AI‑driven methodologies are leading the way in simulating and optimizing critical processes across the power generation, transmission, and storage sectors. Whether applied to traditional power grids, renewable energy systems, or energy markets, AI techniques such as neural networks, reinforcement learning, fuzzy logic, and metaheuristic optimization are revolutionizing how energy systems are modeled and managed.This comprehensive volume offers: In‑depth chapters on AI‑driven simulation and optimization strategiesCase studies that demonstrate real‑world applications of AI in energy systemsAn examination of the ethical concerns and legal frameworks surrounding AICutting‑edge methodologies for improving energy technologies’ accuracy, efficiency, and performanceBringing together leading researchers and practitioners in AI and energy systems, this book is an invaluable resource for academics, engineers, and professionals who want to stay ahead of the curve in this rapidly evolving field.
Editorial Reviews
Advances in AI for Simulation and Optimization of Energy Systems explores AI’s groundbreaking role in the future of energy. As the demand for cleaner, more efficient energy systems grows, AI‑driven methodologies are leading the way in simulating and optimizing critical processes across the power generation, transmission, and storage sectors. Whether applied to traditional power grids, renewable energy systems, or energy markets, AI techniques such as neural networks, reinforcement learning, fuzzy logic, and metaheuristic optimization are revolutionizing how energy systems are modeled and managed.This comprehensive volume offers: In‑depth chapters on AI‑driven simulation and optimization strategiesCase studies that demonstrate real‑world applications of AI in energy systemsAn examination of the ethical concerns and legal frameworks surrounding AICutting‑edge methodologies for improving energy technologies’ accuracy, efficiency, and performanceBringing together leading researchers and practitioners in AI and energy systems, this book is an invaluable resource for academics, engineers, and professionals who want to stay ahead of the curve in this rapidly evolving field.
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