Short term load forecasting in Greek intercontinental power system using ANNs: a study for input variables

  • Authors:

  • G. J. Tsekouras;F. D. Kanellos;V. T. Kontargyri;C. D. Tsirekis;I. S. Karanasiou;Ch. N. Elias;A. D. Salis;P. A. Kontaxis;N. E. Mastorakis

  • Affiliations:

  • Department of Electrical & Computer Science, Hellenic Naval Academy, Terma Hatzikyriakou, Piraeus, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;School of Electrical and Computer Engineering, National Technical University of Athens, Zografou, Athens, Greece;Department of Electrical & Computer Science, Hellenic Naval Academy, Terma Hatzikyriakou, Piraeus, Greece

  • Venue:
  • NN'09 Proceedings of the 10th WSEAS international conference on Neural networks
  • Year:
  • 2009

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Abstract

ANN models are computational modeling tools that have recently emerged and found extensive acceptance in many disciplines for modeling complex real-world problems. ANNs produce complicated nonlinear models relating the inputs (the independent variables ...