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- W2021103135 abstract "Based on the fact that public buildings baseline load is hard to predict effectively,a kind of BP neural networks forecasting model based on FCM optimization preprocesses which combines with adjustment factor is proposed. The method which adopts method of the FCM arithmetic divides the complicated historical data into gather of multiple proxy event day populations. Then, based on BP neural network forecasting model regulated by adjustment factor, public buildings baseline load forecasting model is introduced. The prediction results show that the prediction precision of the model is higher than that of linearity model, and it can predict the public buildings baseline load effectively." @default.
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- W2021103135 date "2011-11-01" @default.
- W2021103135 modified "2023-10-14" @default.
- W2021103135 title "Public Buildings Baseline Load Forecasting Model" @default.
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- W2021103135 doi "https://doi.org/10.4028/www.scientific.net/amr.403-408.2098" @default.
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