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Intelligent Management of Energy Systems provides a holistic overview of the opportunities available for utilizing artificial intelligence to optimize modern energy systems, including system dynamics, components, and business perspectives. The book begins with an overview of energy system dynamics followed by detailed step-by-step breakdowns of critical artificial intelligence and machine learning techniques, and methods for assessing greenhouse-gas emissions. Further chapters spotlight microgrids, high-voltage testing for essential components such as circuit breakers and transformers, and perspectives from business and social disciplines.

Designed for students, engineers, and researchers, this book combines clear, foundational methodologies, technical implementation, and business perspectives, making it a robust toolkit for AI utilization in energy system optimization.