Monitoring Control Electrical Power (15 results)
- Softcover
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Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
Espejo, Emilio Barocio (EDT); Sevilla, Felix Rafael Segundo (EDT); Korba, Petr (EDT)
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- Softcover
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- Softcover
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Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
Espejo, Emilio Barocio (EDT); Sevilla, Felix Rafael Segundo (EDT); Korba, Petr (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
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Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
Espejo, Emilio Barocio (EDT); Sevilla, Felix Rafael Segundo (EDT); Korba, Petr (EDT)
- Softcover
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More images- Softcover
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Taschenbuch. Condition: Neu. Monitoring and Control of Electrical Power Systems using Machine Learning Techniques | Emilio Barocio Espejo (u. a.) | Taschenbuch | Einband - fest (Hardcover) | Englisch | 2023 | Elsevier Inc | EAN 9780323999045 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr…[at]libri[dot]de | Anbieter: preigu.
Monitoring and Control of Electrical Power Systems Using Machine Learning Techniques
Espejo, Emilio Barocio (EDT); Sevilla, Felix Rafael Segundo (EDT); Korba, Petr (EDT)
- Softcover
Seller: GreatBookPricesUK, Woodford Green, United KingdomGreatBookPricesUK
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- Softcover
Seller: moluna, Greven, , Germanymoluna
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Condition: New. 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 an.
- Softcover
- Print on Demand
Seller: Brook Bookstore On Demand, Napoli, NA, ItalyBrook Bookstore On Demand
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Monitoring and Control of Electrical Power Systems using Machine Learning Techniques
Barocio Espejo (Editor) / Segundo Sevilla (Editor) / Korba (Editor)
- Softcover
- Print on Demand
Seller: Revaluation Books, Exeter, , United KingdomRevaluation Books
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Paperback. Condition: Brand New. 296 pages. 9.00x6.00x0.87 inches. In Stock. This item is printed on demand.
Language: English
Published by Elsevier - Health Sciences Division Jan 2023 2023
- Softcover
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Seller: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, , GermanyBuchWeltWeit Ludwig Meier e.K.
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Taschenbuch. Condition: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -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, parti…cularly 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. 352 pp. Englisch.
Language: English
Published by Elsevier Science & Technology, Elsevier 2023
- Softcover
- Print on Demand
Seller: AHA-BUCH GmbH, Einbeck, GermanyAHA-BUCH GmbH
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Taschenbuch. Condition: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - 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, particular…ly 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.
