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'Intelligent Management of Energy Systems' provides a holistic overview of the opportunities for utilising artificial intelligence to optimize modern energy systems, including system dynamics, components, and business perspectives. This book begins with an overview of energy system dynamics, followed by detailed step-by-step breakdowns of critical artificial intelligence and machine learning techniques, as well as 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, 'Intelligent Management of Energy Systems' combines clear, foundational methodologies, technical implementation, and business perspectives: a robust toolkit for AI utilization in energy system optimization.• Includes theory and practice from essential techniques to business considerations• Provides access to original code and MATLAB files, for practical learning and replication• Supports students and professionals in developing resilient, sustainable energy systems

Power System Fault Diagnosis: A Wide Area Measurement Based Intelligent Approach is a comprehensive overview of the growing interests in efficient diagnosis of power system faults to reduce outage duration and revenue losses by expediting the restoration process.This book illustrates intelligent fault diagnosis schemes for power system networks, at both transmission and distribution levels, using data acquired from phasor measurement units. It presents the power grid modeling, fault modeling, feature extraction processes, and various fault diagnosis techniques, including artificial intelligence techniques, in steps. The book also incorporates uncertainty associated with line parameters, fault information (resistance and inception angle), load demand, renewable energy generation, and measurement noises. - Provides step-by-step modeling of power system networks (distribution and transmission) and faults in MATLAB/SIMULINK and real-time digital simulator (RTDS) platforms - Presents feature extraction processes using advanced signal processing techniques (discrete wavelet and Stockwell transforms) and an easy-to-understand optimal feature selection method - Illustrates comprehensive results in the graphical and tabular formats that can be easily reproduced by beginners - Highlights various utility practices for fault location in transmission networks, distribution systems, and underground cables.