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Load Prediction of RBF Neural Network Considering Weather Factors
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Journal Article
Load Prediction of RBF Neural Network Considering Weather Factors
2013
Overview
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.
Publisher
Trans Tech Publications Ltd
ISBN
3037858435, 9783037858431
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