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This paper presents the development of an Artificial Neural Network model for short-term load forecasting of the Greek power system. The model can forecast daily load profiles up to seven days ahead and accounts for both normal and holiday periods. The paper describes the considerations around selecting the neural network structure and training approach.

Author

kalokos

Language

EN