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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. Brand New Original US Edition. Customer service! Satisfaction Guaranteed.
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Condition: New.
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Condition: New.
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Condition: As New. Unread book in perfect condition.
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Core Concepts and Methods in Load Forecasting: With Applications in Distribution Networks
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Add to basketCondition: New. In English.
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US$ 58.86
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Book. Condition: New. Illustrated.
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Condition: New. 2023rd edition NO-PA16APR2015-KAP.
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Control of Energy Storage
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Control of Energy Storage
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Control of Energy Storage
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
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Control of Energy Storage
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Condition: As New. Unread book in perfect condition.
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Challenges in the Guidance, Navigation and Control of Autonomous and Transport Vehicles
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Challenges in the Guidance, Navigation and Control of Autonomous and Transport Vehicles
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Condition: New. KlappentextrnrnEnergy storage can provide numerous beneficial services and cost savings within the electricity grid, especially when facing future challenges like renewable and electric vehicle (EV) integration. Public bodies, private companies .
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Paperback. Condition: New. Illustrated.
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Challenges in the Guidance, Navigation and Control of Autonomous and Transport Vehicles
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Taschenbuch. Condition: Neu. Neuware - Energy storage can provide numerous beneficial services and cost savings within the electricity grid, especially when facing future challenges like renewable and electric vehicle (EV) integration. Public bodies, private companies and individuals are deploying storage facilities for several purposes, including arbitrage, grid support, renewable generation, and demand-side management. Storage deployment can therefore yield benefits like reduced frequency fluctuation, better asset utilisation and more predictable power profiles. Such uses of energy storage can reduce the cost of energy, reduce the strain on the grid, reduce the environmental impact of energy use, and prepare the network for future challenges.This Special Issue of Energies explore the latest developments in the control of energy storage in support of the wider energy network, and focus on the control of storage rather than the storage technology itself.
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Add to basketPaperback. Condition: Brand New. 311 pages. 6.14x0.66x9.21 inches. In Stock.
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Taschenbuch. Condition: Neu. Intelligent Technology for Future Transportation | Second International Symposium, ITFT 2025, London, UK, November 18-20, 2025, Proceedings | Abolhassan Razminia (u. a.) | Taschenbuch | Communications in Computer and Information Science | xiii | Englisch | 2026 | Springer | EAN 9783032205919 | 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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Energy Forecasting and Control Methods for Energy Storage Systems in Distribution Networks (Hardcover)
Book 80 of 81: Lecture Notes in EnergyLanguage: English
Published by Springer Nature Switzerland AG, Cham, 2023
ISBN 10: 3030828476 ISBN 13: 9783030828479
Hardcover. Condition: 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.
