Ag. Bakirtzis et al., A NEURAL-NETWORK SHORT-TERM LOAD FORECASTING-MODEL FOR THE GREEK POWER-SYSTEM, IEEE transactions on power systems, 11(2), 1996, pp. 858-863
This paper presents the development of an Artificial Neural Network (A
NN) based short-term load forecasting model for the Energy Control Cen
ter of the Creek Public Power Corporation (PPC). The model can forecas
t daily load profiles with a lead time of one to seven days. Attention
was paid for the accurate modeling of holidays. Experiences gained du
ring the development of the model regarding the selection of the input
variables, the ANN structure, and the training data set are described
in the paper. The results indicate that the load forecasting model de
veloped provides accurate forecasts.