Application of a hybrid quantized Elman neural network in short-term load forecasting
A hybrid quantized Elman neural network with quantized training is proposed for STLF. The GA algorithm is used to optimize the structures of the proposed neural model. The comparisons for STLF are carried out among the ENN, MFNN and our neural models.
quantized elman neural network short-term load forecasting quantized learning algorithm