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  2. School of Engineering
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dc.contributor.editorBarocio Espejo, Emilio-
dc.contributor.editorSegundo Sevilla, Felix Rafael-
dc.contributor.editorKorba, Petr-
dc.date.accessioned2024-02-02T16:05:25Z-
dc.date.available2024-02-02T16:05:25Z-
dc.date.issued2023-
dc.identifier.isbn978-0-323-99904-5de_CH
dc.identifier.urihttps://digitalcollection.zhaw.ch/handle/11475/29797-
dc.description.abstractMonitoring 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.de_CH
dc.format.extent339de_CH
dc.language.isoende_CH
dc.publisherElsevierde_CH
dc.rightsLicence according to publishing contractde_CH
dc.subjectMachine learningde_CH
dc.subjectElectrical power systemde_CH
dc.subject.ddc006: Spezielle Computerverfahrende_CH
dc.subject.ddc621.3: Elektro-, Kommunikations-, Steuerungs- und Regelungstechnikde_CH
dc.titleMonitoring and control of electrical power systems using machine learning techniquesde_CH
dc.typeBuchde_CH
dcterms.typeTextde_CH
zhaw.departementSchool of Engineeringde_CH
zhaw.organisationalunitInstitut für Energiesysteme und Fluid-Engineering (IEFE)de_CH
dc.identifier.doi10.1016/C2021-0-00483-1de_CH
zhaw.funding.euNode_CH
zhaw.originated.zhawYesde_CH
zhaw.publication.statuspublishedVersionde_CH
zhaw.publication.reviewEditorial reviewde_CH
zhaw.webfeedElektrische Energiesysteme und Smart Gridsde_CH
zhaw.author.additionalNode_CH
zhaw.display.portraitYesde_CH
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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.


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