摘要
在阐述换热站负荷分类重要性的基础上,以换热站每日耗热量为基本特征,提出了基于K均值算法的换热站负荷分类模型。对90个换热站按照普暖和地暖进行聚类分析,得出不同类型的换热站负荷,并根据同聚类类别和不同同聚类类别对各换热站进行节能分析,结果表明对换热站负荷进行聚类分析具有一定的理论和应用价值。
Based on the importance of the load classification of heat exchange stations,this paper proposes a heat exchange station load classification model based on the K-means algorithm based on the basic characteristics of the daily heat consumption of the heat exchange station.A cluster analysis of 90 heat exchange stations based on general heating and floor heating was performed,and different types of heat exchange station loads were obtained.The energy saving analysis of each heat exchange station was carried out according to the same clustering category and different same clustering categories.Cluster analysis of heat station load has certain theoretical and practical value.
出处
《节能》
2020年第10期59-61,共3页
Energy Conservation
关键词
换热站
K均值聚类
耗热量
节能
heat exchange station
K-means clustering
heat consumption
energy-saving
