Advances in AI for Simulation and Optimization of Energy Systems
Wejdan Abu Elhaija (Hrsg.), Omar Mohamed (Hrsg.), Qasem Abu Al-Haija (Hrsg.)
Naturwissenschaften, Medizin, Informatik, Technik / Physik, Astronomie
Beschreibung
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 strategies Case studies that demonstrate real world applications of AI in energy systems An examination of the ethical concerns and legal frameworks surrounding AI Cutting edge methodologies for improving energy technologies' accuracy, efficiency, and performance Bringing 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.
