DocumentCode
465794
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
Volume
2
fYear
2006
fDate
8-11 Oct. 2006
Firstpage
1320
Lastpage
1324
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;
fLanguage
English
Publisher
ieee
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
Type
conf
DOI
10.1109/ICSMC.2006.384898
Filename
4274032
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