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基于BP神经网络的空调负荷预测
引用本文:陈文鼎,赵哲身. 基于BP神经网络的空调负荷预测[J]. 节能技术, 2010, 28(1): 15-17,24
作者姓名:陈文鼎  赵哲身
作者单位:上海大学机电工程与自动化学院,上海,200072
摘    要:本文以城建国际大厦冷源系统的检测数据为依据,利用BP神经网络,建立了空调负荷预测模型,并取得了较好的结果。文章进一步分析了可能存在的误差及提高预测精度的方法。

关 键 词:冷源系统  BP神经网络  负荷预测

Prediction of Air Conditioning Load Based On BP Neural Network
CHEN Wen-ding,ZHAO Zhe-shen. Prediction of Air Conditioning Load Based On BP Neural Network[J]. Energy Conservation Technology, 2010, 28(1): 15-17,24
Authors:CHEN Wen-ding  ZHAO Zhe-shen
Affiliation:Shanghai University;School of Machtronics Engineering and Automation;Shanghai 200071;China
Abstract:A neural network model that forecasts the building load is presented in this paper based on the measuring data of the chiller system in the Chenjian International Building,that leads to good results.The error is analyzed and the method to improve its accuracy is discussed.
Keywords:cold source  BP neural network  load prediction  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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