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A model-based reinforcement learning framework for building heating management with branched rollout strategy and time-series prediction model

Kaichen Qu Hong Zhang Xin Zhou Martina Ferrando Francesco Causone

建筑模拟(英文版)2025,Vol.18Issue(7):1697-1716,20.
建筑模拟(英文版)2025,Vol.18Issue(7):1697-1716,20.DOI:10.1007/s12273-025-1288-9

A model-based reinforcement learning framework for building heating management with branched rollout strategy and time-series prediction model

A model-based reinforcement learning framework for building heating management with branched rollout strategy and time-series prediction model

Kaichen Qu 1Hong Zhang 1Xin Zhou 1Martina Ferrando 2Francesco Causone2

作者信息

  • 1. School of Architecture,Southeast University,Si-Pai-Lou 2#,Nanjing 210096,China
  • 2. Department of Energy,Politecnico di Milano,Via Lambruschini 4,20156 Milano,Italy
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摘要

关键词

building energy management/reinforcement learning/model-based learning/recursive prediction/time-series prediction model

Key words

building energy management/reinforcement learning/model-based learning/recursive prediction/time-series prediction model

引用本文复制引用

Kaichen Qu,Hong Zhang,Xin Zhou,Martina Ferrando,Francesco Causone..A model-based reinforcement learning framework for building heating management with branched rollout strategy and time-series prediction model[J].建筑模拟(英文版),2025,18(7):1697-1716,20.

基金项目

This research was supported by the China Scholarship Council(No.202306090264)granted to Kaichen Qu for his study at Politecnico di Milano.We would like to thank Prof.Alfonso Capozzoli,Prof.Marco Savino Piscitelli,and Ms.Sabrina Savino from Politecnico di Torino for their discussions and suggestions on the work. (No.202306090264)

建筑模拟(英文版)

1996-3599

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