Short-Term Power Load Forecasting Based on the Combination of Improved Neural Network Model and Fuzzy Decision Model

Jia Ming Li; Peng Li

doi:10.4028/www.scientific.net/AMM.543-547.869

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 543-547Short-Term Power Load Forecasting Based on the...

Short-Term Power Load Forecasting Based on the Combination of Improved Neural Network Model and Fuzzy Decision Model

Abstract:

A fuzzy decision model is built to analyze correlation of historical load datas, and to preprocess original datas, by extracting useful datas contributing to forecasting and removing "bad datas". Then the neural network model (NNM) is established to predict power load value measured at 96 time points, through accurate analysis, the rationality of the model is verified.