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

Record Type:	Electronic resources : Monograph/item
Title/Author:	Energy production, load and battery management framework with supporting methods for smart microgridsedited by Francky Catthoor ... [et al.].
other author:	Catthoor, Francky.
Published:	Cham :Springer Nature Switzerland :2025.
Description:	x, 109 p. :ill. (chiefly col.), digital ;24 cm.
Contained By:	Springer Nature eBook
Subject:	Microgrids (Smart power grids)
Online resource:	https://doi.org/10.1007/978-3-031-92025-7
ISBN:	9783031920257$q(electronic bk.)

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$q(electronic bk.)

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

837676
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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245 0 0 $a Energy production, load and battery management framework with supporting methods for smart microgrids $h [electronic resource] / $c edited by Francky Catthoor ... [et al.].
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300 $a x, 109 p. : $b ill. (chiefly col.), digital ; $c 24 cm.
505 0 $a 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.
506 $a Open access.
520 $a 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.
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