Monitoring and control of electrical power systems using machine learning techniques

Barocio Espejo, Emilio; Segundo Sevilla, Felix Rafael; Korba, Petr

doi:10.1016/C2021-0-00483-1

Publication type:	Book
Type of review:	Editorial review
Title:	Monitoring and control of electrical power systems using machine learning techniques
et. al:	No
Editors:	Barocio Espejo, Emilio Segundo Sevilla, Felix Rafael Korba, Petr
DOI:	10.1016/C2021-0-00483-1
Extent:	339
Issue Date:	2023
Publisher / Ed. Institution:	Elsevier
ISBN:	978-0-323-99904-5
Language:	English
Subjects:	Machine learning; Electrical power system
Subject (DDC):	006: Special computer methods 621.3: Electrical, communications, control engineering
Abstract:	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.
URI:	https://digitalcollection.zhaw.ch/handle/11475/29797
Fulltext version:	Published version
License (according to publishing contract):	Licence according to publishing contract
Departement:	School of Engineering
Organisational Unit:	Institute of Energy Systems and Fluid Engineering (IEFE)
Appears in collections:	Publikationen School of Engineering

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Barocio Espejo, E., Segundo Sevilla, F. R., & Korba, P. (2023). Monitoring and control of electrical power systems using machine learning techniques. Elsevier. https://doi.org/10.1016/C2021-0-00483-1

Barocio Espejo, E., Segundo Sevilla, F.R. and Korba, P. (eds) (2023) Monitoring and control of electrical power systems using machine learning techniques. Elsevier. Available at: https://doi.org/10.1016/C2021-0-00483-1.

E. Barocio Espejo, F. R. Segundo Sevilla, and P. Korba, Eds., Monitoring and control of electrical power systems using machine learning techniques. Elsevier, 2023. doi: 10.1016/C2021-0-00483-1.

BAROCIO ESPEJO, Emilio, Felix Rafael SEGUNDO SEVILLA und Petr KORBA (Hrsg.), 2023. Monitoring and control of electrical power systems using machine learning techniques, 2023. Elsevier. ISBN 978-0-323-99904-5

Barocio Espejo, Emilio, Felix Rafael Segundo Sevilla, and Petr Korba, eds. 2023. Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques. Elsevier. https://doi.org/10.1016/C2021-0-00483-1.

Barocio Espejo, Emilio, et al., editors. Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques. Elsevier, 2023, https://doi.org/10.1016/C2021-0-00483-1.