制冷2025，Vol.44Issue(2)：42-47,6.DOI:10.3969/J.ISSN.1005-9180.2025.02.0009
基于XGBoost算法的空调房间负荷识别及自适应控制研究
Research on Load Identification and Adaptive Control of Air-conditioning Rooms based on XGBoost Algorithm
摘要
Abstract
When users choose air conditioners,due to various considerations,the air conditioner capacity is not compatible with the room area,resulting in the phenomenon of"big horse pulling a small cart"and"small horse pulling a big cart",which often causes users to feel uncomfortable and energy-unefficient.In order to solve this problem,this paper applies the XGBoost prediction algorithm to the load identification of air-conditioned rooms,and realizes high-precision load prediction of air-conditioned rooms.The predicted air-conditioned room load is converted into a load correction coefficient,and the operating frequency of the air-conditioning compressor is corrected and controlled.The equivalent area of □□the room is adapted to the air-conditioning output,effectively improving the energy-saving and comfortable experience of air conditioning.关键词
房间负荷识别/节能/舒适/XGBoost算法Key words
Room Load Identification/Energy Saving/Comfortable/XGBoost分类
土木建筑引用本文复制引用
宋浩林,廖敏,罗俊..基于XGBoost算法的空调房间负荷识别及自适应控制研究[J].制冷,2025,44(2):42-47,6.基金项目
基于小米AI大模型的空调运行节能关键技术研究及应用(2024BAB045) （2024BAB045）
