Details

Autor(en) / Beteiligte

• Taysi, Z. Cihan
• Biricik, Goksel
• Bozkurt, O. Ozgur

Titel

Evaluation of price forecast systems for Turkish Electric Market

Ist Teil von

• 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015, p.620-623

Ort / Verlag

IEEE

Erscheinungsjahr

2015

Quelle

IEL

Beschreibungen/Notizen

• It is very important to forecast the electric prices in deregulated markets for both producers and brokers. This information is crucial to make effective decisions concerning to production, purchase, maintenance and investment. In this study, we built two different systems for short-term prediction of electricity price in Turkish Electric Market. One of the systems built on ARIMA model, while the other employs a feed forward neural network. Both systems use calendar and historical price information as input. Performance of both systems are compared and it is shown that it is possible to forecast weekly electric price with an average error rate of %8.5.