Librería: Books From California, Simi Valley, CA, Estados Unidos de America
EUR 170,73
Cantidad disponible: 1 disponibles
Añadir al carritohardcover. Condición: Very Good.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 283,86
Cantidad disponible: 4 disponibles
Añadir al carritoCondición: New. pp. 384 1st ed. 2024 edition NO-PA16APR2015-KAP.
Idioma: Inglés
Publicado por Springer Nature Switzerland, 2023
ISBN 10: 3031447719 ISBN 13: 9783031447716
Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 213,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Librería: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 166,29
Cantidad disponible: Más de 20 disponibles
Añadir al carritoCondición: new. Questo è un articolo print on demand.
Idioma: Inglés
Publicado por Springer Nature Switzerland, 2023
ISBN 10: 3031447719 ISBN 13: 9783031447716
Librería: moluna, Greven, Alemania
EUR 180,07
Cantidad disponible: Más de 20 disponibles
Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Tackles energy equipment management and monitoring challenges in Ukrainian power systems and smart grid technologyPresents solutions include network modeling, renewable energy optimization, energy storage, and power plant improvementsCovers.
Idioma: Inglés
Publicado por Springer Nature Switzerland Dez 2023, 2023
ISBN 10: 3031447719 ISBN 13: 9783031447716
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
EUR 213,99
Cantidad disponible: 2 disponibles
Añadir al carritoBuch. Condición: 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.
Idioma: Inglés
Publicado por Springer Nature Switzerland, Springer Nature Switzerland Nov 2023, 2023
ISBN 10: 3031447719 ISBN 13: 9783031447716
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
EUR 213,99
Cantidad disponible: 1 disponibles
Añadir al carritoBuch. Condición: 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.