نویسندگان
دانشگاه سمنان
چکیده
کلیدواژهها
عنوان مقاله [English]
           Abstract  The importance of short term load forecasting has been increasing lately. Artificial Neural Network (ANN) Method is applied to forecast the short term load forecasting for a large power system. A nonlinear load model is proposed and several structures of ANN for short term load forecasting are tested. Inputs to the ANN are past loads and the output of the ANN is the load forecast for a given day. More autonomous load predictors are needed in the new competitive scenario.This paper describes two strategies for embedding the discrete wavelet transform into neural network based short term load forecasting. Its main goal is to develop more robust load forecasters.       Â
کلیدواژهها [English]
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