A Forecasting Method of Short-Term Electric Power Load Based on BP Neural Network

Hou Bin; Yun Xiao Zu; Chao  Zhang

doi:10.4028/www.scientific.net/AMM.538.247

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vol. 538A Forecasting Method of Short-Term Electric Power...

A Forecasting Method of Short-Term Electric Power Load Based on BP Neural Network

Abstract:

Described the meaning of the Short-Term Power forecasting firstly, then gives summary of the basic principles and steps of the power load forecasting, analyses the disadvantages of traditional forecasting methods, and proposing the load analysis plan base on BP neural network theory. Taking full account of the relationship between the daily load and weather factors, establishes a short-term load forecasting model. Results of the prediction are verified highly precise and stable, which makes it suitable for different forecasting conditions.

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Periodical:

Applied Mechanics and Materials (Volume 538)

Pages:

247-250

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.538.247

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Online since:

April 2014

Authors:

Hou Bin*, Yun Xiao Zu, Chao Zhang

Keywords:

BP Neural Network (BPNN), Power Load Forecast, Short-Term Load

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* - Corresponding Author

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