Several key problems encountered in building power load forecasting model based on Elman neural network are data normalization, selection of input and output samples, and determination of the number of hidden layer nodes. Elman neural network models are established respectively, and the actual historical power load data of a building are used for forecasting. Effective data prediction model.

Filename	Size	Update
data.mat	406	2009-10-25
haodianliang.m	1354	2019-05-11

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