Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

Monitoring and Control of Electrical Power Systems using Machine Learning Techniques

AngličtinaEbook
Elsevier Science
EAN: 9780323984041
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4 398 Kč
Běžná cena: 4 887 Kč
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Podrobné informace

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. - Covers advanced applications and solutions for monitoring and control of electrical power systems using machine learning techniques for transmission and distribution systems- Provides deep insight into power quality disturbance detection and classification through machine learning, deep learning, and spatio-temporal algorithms- Includes substantial online supplementary components focusing on dataset generation for machine learning training processes and open-source microgrid model simulators on GitHub
EAN 9780323984041
ISBN 0323984045
Typ produktu Ebook
Vydavatel Elsevier Science
Datum vydání 11. ledna 2023
Jazyk English
Země Uruguay
Editoři Espejo, Emilio Barocio; Korba, Petr; Sevilla, Felix Rafael Segundo
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