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A Prediction Method about Central Heating Parameters Based on BP Neural Networks

机译:基于BP神经网络的中央热参数预测方法

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摘要

First, combined with the theory of heating operation adjustment, the advising heat is determined;;Then, BP neural network is used to seek the mapping relationship among the outdoor temperature, system flow, supplying and returning water temperature, etc. This method achieved higher prediction accuracy, and energy-saving effect is remarkable.
机译:首先,结合加热操作调整的理论,确定建议的热量;然后,BP神经网络用于寻求室外温度,系统流动,供应和返回水温等的映射关系。这种方法实现更高预测精度,节能效果显着。

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