TY - BOOK ID - 118253437 TI - Monitoring and control of electrical power systems using machine learning techniques AU - Espejo, Emilio Barocio AU - Sevilla, Felix Rafael Segundo AU - Korba, Petr PY - 2023 SN - 0323984045 0323999042 9780323984041 9780323999045 PB - Amsterdam, Netherlands Oxford, United Kingdom Cambridge MA DB - UniCat KW - Electric power systems KW - Machine learning. KW - Control. KW - Learning, Machine KW - Artificial intelligence KW - Machine theory KW - Control of electric power systems KW - Electric power system control KW - Electric power system stability UR - https://www.unicat.be/uniCat?func=search&query=sysid:118253437 AB - 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. ER -