Lingua: Inglese
Editore: Springer Nature Switzerland, 2024
ISBN 10: 3031447743 ISBN 13: 9783031447747
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Power Systems Research and Operation | Selected Problems III | Olexandr Kyrylenko (u. a.) | Taschenbuch | xii | Englisch | 2024 | Springer Nature Switzerland | EAN 9783031447747 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
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Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland, 2024
ISBN 10: 3031447743 ISBN 13: 9783031447747
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering.
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Lingua: Inglese
Editore: Springer Nature Switzerland, Springer Nature Switzerland Nov 2024, 2024
ISBN 10: 3031447743 ISBN 13: 9783031447747
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production from renewable sources on the accuracy of the imbalance forecast. The book proposed architecture and mathematical model of an artificial neural network for deep learning forecasting of short-term electricity imbalances using hourly data. Using a model to aggregate data with an hourly resolution followed by forecasting to reduce forecast error, the quasi-dynamic modeling method was used to analyze the impact of periodic generation on the network. The application of quasi-dynamic modeling also allows taking into account the system load curve, generation profile, storage system, as well as renewable energy sources (RES) operation in this area. The use of models makes it possible to achieve realistic estimates of generation for the required period. The book considers a local hybrid renewable energy system (HRES) based on different types of RES, which is more efficient than a system with one type of source. 384 pp. Englisch.
Lingua: Inglese
Editore: Springer Nature Switzerland, Springer International Publishing Nov 2024, 2024
ISBN 10: 3031447743 ISBN 13: 9783031447747
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
EUR 213,99
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Aggiungi al carrelloTaschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book covers new technologies and methods related to models for short-term forecasting of electricity imbalances in the IPS of Ukraine, taking into account the impact of forecasts of energy production from renewable sources on the accuracy of the imbalance forecast. The book proposed architecture and mathematical model of an artificial neural network for deep learning forecasting of short-term electricity imbalances using hourly data. Using a model to aggregate data with an hourly resolution followed by forecasting to reduce forecast error, the quasi-dynamic modeling method was used to analyze the impact of periodic generation on the network. The application of quasi-dynamic modeling also allows taking into account the system load curve, generation profile, storage system, as well as renewable energy sources (RES) operation in this area. The use of models makes it possible to achieve realistic estimates of generation for the required period. The book considers a local hybrid renewable energy system (HRES) based on different types of RES, which is more efficient than a system with one type of source.Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 384 pp. Englisch.
Da: Majestic Books, Hounslow, Regno Unito
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