城市集中供热网参数预测研究  

Forecasting City Central Heating Network Supply Parameters

作　　者：顿雷[1] 李巴津[1] 

机构地区：[1]内蒙古工业大学信息工程学院,呼和浩特010051

出　　处：《微计算机信息》2007年第30期38-39,共2页Control & Automation

基　　金：内蒙古自治区高等学校科学研究重点领域基金项目(NJ03007)

摘　　要：城市集中供热系统已经成为我国北方冬季供暖的一种主要形式,而预测集中供热系统未来一段时间内的参数变化趋势,对热网的运行、调节均起着重要作用。通过对热网中的不确定信息的分析,采用基于模型的模糊神经网络结构,用误差反传算法来训练网络的连接权系数,以呼市热力公司某供热站的供热网参数为研究对象予以建模和预测,其结果表明该算法具有较好的泛化、学习、映射能力。The city central heating network has become a dominating form of supplying central heating in the north of China in winter. Ghanging tendency of the parameters forecasting will play a key role in controlling and running the city central heating nefivork, This Paper presents a method for thermal power supply parameters modeling and forecasting based on a fuzzy neural network model by an- alyzing the indefinite information on central heating network , in which the Back Propagation algorithms is used to train the connection weights of the fuzzy neural network. The modeling and forecasting results about the central heating network parameters of a supply site in Huhhot Thermal Power Company has shown that the method has good properties of generalization, learning and reflecting caoabilities.

关 键 词：集中供热网 模糊神经网络 参数预测 

分 类 号：TP183[自动化与计算机技术—控制理论与控制工程]