Load Prediction of RBF Neural Network Considering Weather Factors

Ren Ran  Wei; Zhen Zhu  Wei; Hai Bo Yang; Jian Dong  Jiang

doi:10.4028/www.scientific.net/AMM.397-400.1103

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 397-400Load Prediction of RBF Neural Network Considering...

Load Prediction of RBF Neural Network Considering Weather Factors

Abstract:

In order to improve the precision of the short-term load prediction, a new method based on radial basis function (RBF) neural network is proposed. The weather data of samples includes the temperature, humidity, date, type, etc., and is quantified according the relevance to load, and then forecasting the power load using RBF neural network model in a region, Actual example shows that this method improves the convergence speed and prediction accuracy of load forecasting.

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Periodical:

Applied Mechanics and Materials (Volumes 397-400)

Pages:

1103-1106

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.397-400.1103

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Online since:

September 2013

Authors:

Ren Ran Wei, Zhen Zhu Wei, Hai Bo Yang, Jian Dong Jiang

Keywords:

BP Neural Network (BPNN), Load Prediction, RBF Neural Network, Weather Factors

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