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Monitoring and Control of Electrical Power Systems using Machine Learning Techniques bridges the gap between advanced machine learning techniques and their application in the control and monitoring of electrical power systems, particularly relevant for heavily distributed energy systems and real-time application. The book reviews key applications of deep learning, spatio-temporal, and advanced signal processing methods for monitoring power quality. This reference introduces guiding principles for the monitoring and control of power quality disturbances arising from integration of power electronic devices and discusses monitoring and control of electrical power systems using benchmark test systems for the creation of bespoke advanced data analytic algorithms.

Electric power systems --- Machine learning. --- Control. --- Learning, Machine --- Artificial intelligence --- Machine theory --- Control of electric power systems --- Electric power system control --- Electric power system stability

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This book provides an in-depth introduction to all major control and stability issues related to microgrids. It is the first book to offer a comprehensive look into the methodologies and philosophies behind system modeling, coordinated control, and protection for developing reliable, robust, and efficient operation of modular uninterruptible power supply systems. For each topic, a theoretical introduction and overview are backed by concrete programming examples that enable the reader to thoroughly understand the topic and develop and conduct simulation models. Complete coverage of modular uninterruptible power supply systems; Provides hands-on programming and simulation examples; Covers distributed dynamic control of modular UPS systems.

Electric power distribution. --- Power electronics. --- Renewable energy sources. --- Energy Grids and Networks. --- Power Electronics. --- Renewable Energy. --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Electronics, Power --- Electric power --- Electronics --- Electricity --- Power distribution, Electric --- Electric power systems --- Power transmission --- Electric power transmission --- Electrification --- Distribution --- Microgrids (Smart power grids) --- Control. --- MGs (Smart power grids) --- Micro-grids (Smart power grids) --- Mini-grids (Smart power grids) --- Electric power distribution --- Smart power grids --- Control of electric power systems --- Electric power system control --- Electric power system stability

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This handbook analyzes and develops methods and models to optimize solutions for energy access (for industry and the general world population alike) in terms of reliability and sustainability. With a focus on improving the performance of energy systems, it brings together state-of-the-art research on reliability enhancement, intelligent development, simulation and optimization, as well as sustainable development of energy systems. It helps energy stakeholders and professionals learn the methodologies needed to improve the reliability of energy supply-and-demand systems, achieve more efficient long-term operations, deal with uncertainties in energy systems, and reduce energy emissions. Highlighting novel models and their applications from leading experts in this important area, this book will appeal to researchers, students, and engineers in the various domains of smart energy systems and encourage them to pursue research and development in this exciting and highly relevant field.

Production management. --- Energy policy. --- Energy and state. --- Power resources. --- Environmental economics. --- Renewable energy sources. --- Mathematical optimization. --- Sustainability. --- Operations Management. --- Energy Policy, Economics and Management. --- Resource and Environmental Economics. --- Renewable Energy. --- Optimization. --- Sustainability science --- Human ecology --- Social ecology --- Optimization (Mathematics) --- Optimization techniques --- Optimization theory --- Systems optimization --- Mathematical analysis --- Maxima and minima --- Operations research --- Simulation methods --- System analysis --- Alternate energy sources --- Alternative energy sources --- Energy sources, Renewable --- Sustainable energy sources --- Power resources --- Renewable natural resources --- Agriculture and energy --- Economics --- Environmental quality --- Energy --- Energy resources --- Power supply --- Natural resources --- Energy harvesting --- Energy industries --- Energy and state --- State and energy --- Industrial policy --- Energy conservation --- Manufacturing management --- Industrial management --- Environmental aspects --- Economic aspects --- Government policy --- Electric power system stability. --- Electric power systems --- Automatic control.