Load Prediction of RBF Neural Network Considering Weather Factors
Autor: | Zhen Zhu Wei, Jian Dong Jiang, Ren Ran Wei, Hai Bo Yang |
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Rok vydání: | 2013 |
Předmět: | |
Zdroj: | Applied Mechanics and Materials. :1103-1106 |
ISSN: | 1662-7482 |
Popis: | 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. |
Databáze: | OpenAIRE |
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