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Data pre-processing for short-term load forecasting in an autonomous power system using artificial neural networks

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4 Author(s)
Kiartzis, S.J. ; Dept. of Electr. & Comput. Eng., Aristotelian Univ. of Thessaloniki, Greece ; Zoumas, C.E. ; Bakirtzis, A.G. ; Petridis, V.

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

Published in:
Electronics, Circuits, and Systems, 1996. ICECS '96., Proceedings of the Third IEEE International Conference on  (Volume:2 )

Date of Conference: 13-16 Oct 1996

Page(s):
1021 - 1024 vol.2
Meeting Date :
13 Oct 1996-16 Oct 1996
Print ISBN:
0-7803-3650-X
INSPEC Accession Number:
5643904
Conference Location :
Rodos
Digital Object Identifier :
10.1109/ICECS.1996.584560

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