摘要
在分析比较各种负荷预测方法的基础上 ,给出了一个基于互联网的应用神经网络方法进行负荷预测的方案。该方法通过互联网以“准在线”的方式可同时满足较高的逐时负荷预测精度和模型调整的要求 ,并已在实际工程中使用 ,取得了一定的效果。
Based on the analysis of some methods available for air conditioning load pre estimate, puts forward an internet based artificial neural network method for load pre estimate which can meet the needs of both the accuracy of hour by hour load prediction and adjustment of model by means of quasi on line of internet. The method has been put into application of projects and better result obtained.
出处
《暖通空调》
北大核心
2002年第5期110-112,共3页
Heating Ventilating & Air Conditioning
关键词
空调
负荷预测
互联网
神经网络
internet, artificial neural network, load prediction
