Public Buildings Baseline Load Forecasting Model

Qing Ma; Qi Qiang Li

doi:10.4028/www.scientific.net/AMR.403-408.2098

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 403-408Public Buildings Baseline Load Forecasting Model

Public Buildings Baseline Load Forecasting Model

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.

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Periodical:

Advanced Materials Research (Volumes 403-408)

Pages:

2098-2101

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.403-408.2098

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Online since:

November 2011

Authors:

Qing Ma, Qi Qiang Li

Keywords:

Adjustment Factor, Baseline Load, Forecasting, Neural Network (NN), Proxy Event Day

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References

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