基于供热数据挖掘和负荷预测的适量供热技术  

Appropriate heating technology based on heating data mining and load prediction

作　　者：王素玉[1] 姜永成[1] 方修睦[1] 刘立涛[1] 郑瑞芸[1] 

机构地区：[1]哈尔滨工业大学

出　　处：《暖通空调》2011年第7期1-5,共5页Heating Ventilating & Air Conditioning

基　　金："十一五"国家科技支撑计划资助项目(编号:2006BAJ01A04)

摘　　要：针对供暖用户和建筑热力系统的热工特性,从计算机存储的海量历史数据中进行数据挖掘,得到对应于室外当量温度的供热负荷预测区间。通过工程实例介绍了数据挖掘过程和与热网最佳运行调节策略相结合的运行参数预测,最终实现适量供热调节。Based on the thermal characteristics of heating user and building thermodynamic system,performs the data mining from the abundant historical operating data stored by computer and obtains the heating load predicting scope related to outdoor equivalent temperature.With a practical project,presents the process of data mining and the operating parameter prediction integrated with optimum operating regulation strategy of heating network and realizes appropriate heating regulation.

关 键 词：数据挖掘 参数预测 运行调节 适量供热 

分 类 号：TU995[建筑科学—供热、供燃气、通风及空调工程]