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Energy production, load and battery management framework with supporting methods for smart microgrids

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Energy production, load and battery management framework with supporting methods for smart microgrids/ edited by Francky Catthoor ... [et al.].
其他作者:	Catthoor, Francky.
出版者:	Cham :Springer Nature Switzerland : : 2025.,
面頁冊數:	x, 109 p. :ill. (chiefly col.), digital ;24 cm.
內容註:	Chapter 1. Motivation, Focus and Contributions of this Book -- Chapter 2. Accurate PV Energy Yield Forecasting -- Chapter 3. Accurate Energy Yield Forecasting for Wind Turbine Parks -- Chapter 4. Online HVAC control for Energy Efficiency and Thermal Comfort -- Chapter 5. Multi-Timescale Energy Management Framework.
Contained By:	Springer Nature eBook
標題:	Microgrids (Smart power grids) -
電子資源:	https://doi.org/10.1007/978-3-031-92025-7
ISBN:	9783031920257

Energy production, load and battery management framework with supporting methods for smart microgrids
Energy production, load and battery management framework with supporting methods for smart microgrids[electronic resource] /edited by Francky Catthoor ... [et al.]. - Cham :Springer Nature Switzerland :2025. - x, 109 p. :ill. (chiefly col.), digital ;24 cm.

Chapter 1. Motivation, Focus and Contributions of this Book -- Chapter 2. Accurate PV Energy Yield Forecasting -- Chapter 3. Accurate Energy Yield Forecasting for Wind Turbine Parks -- Chapter 4. Online HVAC control for Energy Efficiency and Thermal Comfort -- Chapter 5. Multi-Timescale Energy Management Framework.

Open access.

This open access book provides an overview of the results of a large university collaboration addressing the emerging topic of distributed, localized energy grids and also smart grids. The authors discuss promising, consolidated results from their consortium research activities from the past decade. The methods described achieve unprecedented accuracy levels within reasonable run-times, compatible with on-line monitoring and forecasting as needed for smart grids. Discusses physics-based, short-term wind turbine and PV Eyield forecasting techniques,, which enable unprecedented accuracy; Describes a multi-time-scale energy management framework, combining renewable production, HVAC loads and battery storage; Enables up-scalable approach to aggregated HVAC load modelling and forecasting.

ISBN: 9783031920257

Standard No.: 10.1007/978-3-031-92025-7doiSubjects--Topical Terms:

3383030
Microgrids (Smart power grids)

LC Class. No.: TK3106

Dewey Class. No.: 621.31

Energy production, load and battery management framework with supporting methods for smart microgrids
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506 $a Open access.
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