Scholarlink

This paper carries out predictions of the key influencing factors in the process of building energy consumption management. It adopts a cascade structure of prediction model for thermal dynamic comfort, indoor temperature and energy consumption, where the calculation speed and prediction accuracy are ensured. It provides a reliable parameter prediction which supports to the energy consumption management in built environment.

错误：搜索内容不能为空，请输入英文关键词
错误：关键词超出字数限制，请精简
高级检索

User Comfort and Energy Consumption Prediction Based on Building Dynamic Temperature Setting

  • 会议论文

  • 发表日期：

    2025年

查看全文
  • Yu Miao,
  • Anjiang Liu,
  • Youzhuo Zheng,
  • Fuxiang Pan,
  • Yongxiang Cai,
  • Xiangping Chen,
  • Hongru Chen

摘要

This paper carries out predictions of the key influencing factors in the process of building energy consumption management. It adopts a cascade structure of prediction model for thermal dynamic comfort, indoor temperature and energy consumption, where the calculation speed and prediction accuracy are ensured. It provides a reliable parameter prediction which supports to the energy consumption management in built environment.