Efficient room-level heat load prediction in buildings using spatiotemporal distribution characteristics

Efficient room-level heat load prediction in buildings using spatiotemporal distribution characteristics

Room-level heat load prediction is essential for optimizing building energy efficiency and managing intelligent HVAC systems. This study proposes a prediction method integrating spatiotemporal distribution features within a “global prediction + feature decomposition” framework to overcome traditiona...

Full description

Saved in:
Bibliographic Details
Main Authors: Xin Tan, Kaixuan Xu, Yahui Wang, Qihui Yu, Yongheng Yu, Guoxin Sun
Format: Article
Language:English
Published: Elsevier 2025-07-01
Series:Case Studies in Thermal Engineering
Subjects:
Building thermal loads
Spatial and temporal distribution characteristics
Thermal load apportionment matrix
Building energy consumption simulation
Online Access:http://www.sciencedirect.com/science/article/pii/S2214157X25004290
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

http://www.sciencedirect.com/science/article/pii/S2214157X25004290

Similar Items