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Updated: Sep 11, 2025

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一个可靠的混合整数线性编程公式,用于数据驱动的模型预测控制在建筑物

Peter Klanatsky1, François Veynandt1, Christian Heschl1

  • 1Hochschule Burgenland University of Applied Sciences, Campus Pinkafeld, Steinamangerstraße 21, 7423 Pinkafeld, Austria.

MethodsX
|August 14, 2025
PubMed
概括

本研究介绍了一种优化算法,用于控制热激活建筑结构 (TABS) 和遮阳的建筑能源系统. 该方法使用灰框模型和混合整数线性编程 (MILP) 来实现高效的需求侧灵活性.

关键词:
建筑能源管理 建筑能源管理数据驱动的建筑建模.数据驱动的预测控制是数据驱动的.模型预测控制模型预测控制优化算法优化算法用混合整数线性编程制定优化问题,用于基于数据的模型预测控制热激活建筑结构和遮阳系统的建筑物.智能阴影控制 智能阴影控制热激活建筑结构结构是热激活的

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