Title :
Data pre-processing for short-term load forecasting in an autonomous power system using artificial neural networks
Author :
Kiartzis, S.J. ; Zoumas, C.E. ; Bakirtzis, A.G. ; Petridis, V.
Author_Institution :
Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece
Abstract :
This paper presents the development of an Artificial Neural Network (ANN) based short-term load forecasting model for the Dispatching Center of the Greek Public Power Corporation (PPC) in the island of Crete. The model can forecast daily load profiles with a lead time of one to seven days. Experiences gained during the development of the model regarding the selection of the input variables, the ANN structure, and the training data set pre-processing are described in the paper
Keywords :
load forecasting; neural nets; power engineering computing; Crete; artificial neural network; autonomous power system; data pre-processing; short-term load forecasting; Artificial neural networks; Economic forecasting; Intelligent networks; Load forecasting; Neurons; Power engineering and energy; Power system modeling; Power systems; Predictive models; Temperature;
Conference_Titel :
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on
Conference_Location :
Rodos
Print_ISBN :
0-7803-3650-X
DOI :
10.1109/ICECS.1996.584560
