DocumentCode :
3072073
Title :
ANN application for the next day peak electricity load prediction
Author :
Milojkovic, J. ; Litovski, I. ; Litovski, Vanco B.
Author_Institution :
Fac. of Electron. Eng., Univ. of Nis, Niš, Serbia
fYear :
2012
fDate :
20-22 Sept. 2012
Firstpage :
237
Lastpage :
241
Abstract :
One step ahead prediction of peak electricity loads based on artificial neural networks (ANN) is presented. Two architectures of ANNs were implemented to produce predictions that were used to generate the final value as an average. The time instants when daily peak loads occur are produced simultaneously. Examples will be given confirming both the feasibility of the method and the need for further elaboration of the procedure.
Keywords :
load forecasting; neural nets; power engineering computing; ANN application; artificial neural networks; next day peak electricity load prediction; one step ahead prediction; Artificial neural networks; Electricity; Forecasting; Load forecasting; Meteorology; Neurons; Time series analysis; Artificial neural networks; Load management; Load modeling; Prediction methods; Recurrent neural networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Network Applications in Electrical Engineering (NEUREL), 2012 11th Symposium on
Conference_Location :
Belgrade
Print_ISBN :
978-1-4673-1569-2
Type :
conf
DOI :
10.1109/NEUREL.2012.6420024
Filename :
6420024
Link To Document :
بازگشت