摘要
对用BP网络进行逐时空调负荷预报的建模方法进行了研究。提出了两种类型负荷预报模型，基于建筑模型辩识的负荷预报法和基于时间序列的负荷预报法。并分四种具体情况进行了分析，得出了一种较为适合的负荷预报方法，这对于营冷空调系统优化控制的实施具有重要的意义。
The research on load prediction model of air - conditioning system based on BP neural network has been done. Two kinds of models are derived; load prediction model based on building model recognition and load prediction model based on time series analysis. Four concrete types are analyzed, a proper model is founded out. It has great meanings for putiting optimized control of airconditioning system with thermal storage into practice.
出处
《哈尔滨建筑大学学报》
1999年第3期79-82,共4页
Journal of Harbin University of Civil Engineering and Architecture
关键词
负荷预报
建筑模型辩识
神经网络
空调负荷
load prediction
building model recognition
time series analysis
air-conditioning load
