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基于小波神经网络冰蓄冷空调负荷预测
引用本文:刘军,姜允涛,李晓冬.基于小波神经网络冰蓄冷空调负荷预测[J].低温建筑技术,2009,31(3):93-95.
作者姓名:刘军  姜允涛  李晓冬
作者单位:1. 哈尔滨工业大学建筑设计研究院,哈尔滨,150090
2. 哈尔滨工业大学市政环境工程学院,哈尔滨,150090
摘    要:为了节省冰蓄冷中央空调系统的运行费用,准确地预测空调冷负荷是必不可少的。采用db1小波对冰蓄冷空调冷负荷序列进行分解,分别对低频和高频序列采用BP网络进行预测,将预测结果进行叠加得到最终预测值。结合实例进行了空调逐时冷负荷预测,通过小波-BP网络与BP网络预测结果的对比,可知小波-BP网络预测的效果更好。

关 键 词:冰蓄冷空调  小波  神经网络  负荷预测

LOAD FORECASTING OF THE ICE-STORAGE AIR-CONDITIONING BASED ON WAVELET-NEURAL NETWORK
LIU Jun,JIANG Yun-tao,LI Xiao-dong.LOAD FORECASTING OF THE ICE-STORAGE AIR-CONDITIONING BASED ON WAVELET-NEURAL NETWORK[J].Low Temperature Architecture Technology,2009,31(3):93-95.
Authors:LIU Jun  JIANG Yun-tao  LI Xiao-dong
Affiliation:1.The Architectural Design and Research Institute of Harbin Institute of Technology;Harbin 150090;China;2.School of Municipal and Environmental Engineering;Harbin Institute of Technology;China
Abstract:In order to save operating cost of ice-storage air-conditioning system,the accurately forecasting of cooling load prediction is necessary.Decomposed cooling load series to low-frequency and high-frequency by db1 wavelet,forecast with BP neural network respectively,synthesizse finally.Predicts the hourly ice-storage air-conditioning load with a real example,Contrast with the BP network method,tie forecasting results by wavelet-BP network is much better than BP network.
Keywords:ice-storage air-conditioning  wavelet analysis  neural network  load forecasting  
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