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Hybrid physics-neural-network MPC with stochastic disturbance forecasting for high-inertia thermally activated building systems

Xiaochen Yang Xiaoke Lian Zhenya Zhang Ping Wang Shuo Ma

建筑模拟（英文版）2025，Vol.18Issue(10)：2677-2695,19.

建筑模拟（英文版）2025，Vol.18Issue(10)：2677-2695,19.DOI:10.1007/s12273-025-1338-3

Hybrid physics-neural-network MPC with stochastic disturbance forecasting for high-inertia thermally activated building systems

Xiaochen Yang ¹Xiaoke Lian ¹Zhenya Zhang ²Ping Wang ²Shuo Ma³

作者信息

1. Tianjin Key Laboratory of Built Environment and Energy Application,School of Environmental Science and Engineering,Tianjin University,Tianjin 300072,China
2. Anhui Province Key Laboratory of Intelligent Building&Building Energy Saving,Anhui Jianzhu University,Hefei 230601,China
3. School of Energy and Safety Engineering,Tianjin Chengjian University,Tianjin 300384,China
折叠

摘要

关键词

model predictive control/stochastic disturbance prediction/thermally activated building systems/grey-box model/hybrid physics-NN model

Key words

model predictive control/stochastic disturbance prediction/thermally activated building systems/grey-box model/hybrid physics-NN model

引用本文复制引用

Xiaochen Yang,Xiaoke Lian,Zhenya Zhang,Ping Wang,Shuo Ma..Hybrid physics-neural-network MPC with stochastic disturbance forecasting for high-inertia thermally activated building systems[J].建筑模拟（英文版）,2025,18(10):2677-2695,19.

基金项目

This research was funded by the National Natural Science Foundation of China(Project No.52208120),and the Opening Fund of Anhui Province Key Laboratory of Intelligent Building&Building Energy Saving,Anhui Jianzhu University(Project No.IBES2024KF07). （Project No.52208120）

建筑模拟（英文版）

ISSN：1996-3599

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