Title :
Power Signal Predictions by Using Modified Neural Network
Author :
Lee, H.C. ; Chen, Y.J. ; Chang, C.Y. ; Chuang, S.J. ; Huang, H.C. ; Hwang, R.C.
Author_Institution :
1-Shou Univ., Kaohsiung
Abstract :
In this paper, the non-stationary power signal prediction by using modified neural network (NN) is presented. Due to the special structure of neuron used, the NN model proposed not only has a fast learning speed, the prediction accuracy in power signal is much better as compared with conventional NN models. To demonstrate the superiority of modified NN model we proposed, all simulations are executed by using three different NN models as a comparison.
Keywords :
load forecasting; neural nets; power engineering computing; forecasting model; modified neural network; nonstationary power signal prediction; Accuracy; Load forecasting; Neural networks; Neurons; Power generation economics; Power generation planning; Power system modeling; Predictive models; Signal processing; Training data;
Conference_Titel :
Systems, Man and Cybernetics, 2006. SMC '06. IEEE International Conference on
Conference_Location :
Taipei
Print_ISBN :
1-4244-0099-6
Electronic_ISBN :
1-4244-0100-3
DOI :
10.1109/ICSMC.2006.384898
