9783030828479 - energy forecasting and control methods for energy storage systems in distribution networks: predictive modelling and control techniques: 85 (lecture notes in energy, 85) de sinha, ayush; alasali, feras; holderbaum, william (18 resultados)
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Editorial: Springer Nature Switzerland AG, Cham, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Hardcover. Condición: new. Hardcover. This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse… emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Ria Christie Collections, Uxbridge, Reino UnidoRia Christie Collections
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Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Condición: Hervorragend. Zustand: Hervorragend | Sprache: Englisch | Produktart: Bücher | This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant en…ergy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Books Puddle, New York, NY, Estados Unidos de AmericaBooks Puddle
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Condición: New. 1st ed. 2023 edition NO-PA16APR2015-KAP.
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Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Idioma: Inglés
Editorial: Springer International Publishing, Springer Nature Switzerland, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Buch. Condición: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energy and enviro…nmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.
Idioma: Inglés
Editorial: Springer Nature Switzerland AG, Cham, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: AussieBookSeller, Truganina, VIC, AustraliaAussieBookSeller
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Hardcover. Condición: new. Hardcover. This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energy and environmental challenges such as greenhouse… emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks: Predictive Modelling and Control Techniques
Holderbaum, William (Author)/ Alasali, Feras (Author)/ Sinha, Ayush (Author)
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 220 pages. 9.25x6.10x0.71 inches. In Stock.
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Condición: New.
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Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: BUCHSERVICE / ANTIQUARIAT Lars Lutzer, Wahlstedt, AlemaniaBUCHSERVICE / ANTIQUARIAT Lars Lutzer
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Hardcover. Condición: gut. 2023. Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks In deutscher Sprache. pages.
Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks: Predictive Modelling and Control Techniques
Holderbaum, William (Author)/ Alasali, Feras (Author)/ Sinha, Ayush (Author)
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Revaluation Books, Exeter, Reino UnidoRevaluation Books
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Hardcover. Condición: Brand New. 220 pages. 9.25x6.10x0.71 inches. In Stock. This item is printed on demand.
Idioma: Inglés
Editorial: Springer International Publishing, 2023
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Librería: moluna, Greven, Alemaniamoluna
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Gebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Introduces electrical load forecasting and its useDescribes stochastic and predictive control modellingProvides a basis for further research and spursProfessor William Holderbaum has been working at the Univ…ersity of Gla.
Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing Jan 2023, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, AlemaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant e…nergy and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal. 220 pp. Englisch.
Idioma: Inglés
Editorial: Springer International Publishing, Springer International Publishing Jan 2023, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemaniabuchversandmimpf2000
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Buch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -This book describes the stochastic and predictive control modelling of electrical systems that can meet the challenge of forecasting energy requirements under volatile conditions.The global electrical grid is expected to face significant energ…y and environmental challenges such as greenhouse emissions and rising energy consumption due to the electrification of heating and transport. Today, the distribution network includes energy sources with volatile demand behaviour, and intermittent renewable generation. This has made it increasingly important to understand low voltage demand behaviour and requirements for optimal energy management systems to increase energy savings, reduce peak loads, and reduce gas emissions.Electrical load forecasting is a key tool for understanding and anticipating the highly stochastic behaviour of electricity demand, and for developing optimal energy management systems. Load forecasts, especially of the probabilistic variety, can support moreinformed planning and management decisions, which will be essential for future low carbon distribution networks. For storage devices, forecasts can optimise the appropriate state of control for the battery. There are limited books on load forecasts for low voltage distribution networks and even fewer demonstrations of how such forecasts can be integrated into the control of storage.This book presents material in load forecasting, control algorithms, and energy saving and provides practical guidance for practitioners using two real life examples: residential networks and cranes at a port terminal.Springer-Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg 220 pp. Englisch.
Idioma: Inglés
Editorial: Springer, 2023
Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Majestic Books, Hounslow, Reino UnidoMajestic Books
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Serie: Lecture Notes in Energy, Libro 80 de 81. Libro 80 de 81 - Lecture Notes in Energy
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Librería: Biblios, frankfurt am main, HESSE, AlemaniaBiblios
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Condición: New. PRINT ON DEMAND.
