Advances in AI for the Simulation and Optimization of Energy Systems explore 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:

Includes case studies that demonstrate real-world applications of AI in energy systems. Provides a detailed examination of the ethical concerns and legal frameworks surrounding AI. Integrates the theoretical knowledge of artificial intelligence with that of several engineering disciplines concerned with energy, such as electrical, chemical, mechanical, and environmental engineering. Targets a wider readership by including a broad coverage of applications to energy systems to include the relevant processes in power, chemical, and transportation systems. Includes 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.