Details

Autor(en) / Beteiligte

• Barbulescu, Constantin
• Kilyeni, Stefan
• Simo, Attila
• Pop, Oana
• Oros, Cosmin
• Schiopu, Raluca
• Deacu, Antheia

Titel

ANN techniques for power consumption forecasting

Ist Teil von

• 2013 IEEE Grenoble Conference, 2013, p.1-6

Ort / Verlag

IEEE

Erscheinungsjahr

2013

Quelle

IEL

Beschreibungen/Notizen

• The authors are focusing on developing a software tool designed for power consumption forecasting based on artificial neural networks (ANN). The hourly and peak consumed power and daily load curves are forecasted. The backpropagation algorithm is presented within the paper. Also, some practical considerations are highlighted, necessary to be known to develop a real application. The base propagation algorithm is completed with conjugated gradient and parabolic interpolation. A software tool has been developed in Matlab environment. The results are compared with the ones provided by classic forecasting methods. The analyses and the corresponding conclusions highlight the fact that the ANN based forecasting algorithm has a better behaviour.