Title :
Power load forecast system for Turkish electric market
Author :
Bozkurt, O. Ozgur ; Cihan Taysi, Z. ; Biricik, Goksel
Author_Institution :
Bilgisayar Muhendisligi Bolumu, Yildiz Teknik Univ., Istanbul, Turkey
Abstract :
Forecasting the electric load demand in advance is very important in deregulated market conditions to give proper production, purchase, maintenance and investment decisions. Correct price forecasts also depend on accurate load prediction. In this study, effects of calendar, historical price and load data on short-term load forecast for Turkish Deregulated Electricity market are tested using feed forward neural networks. The impact of each data on forecast performance is evaluated and best performance is obtained using a combination of historical and predicted load, calendar information and historical price information.
Keywords :
feedforward neural nets; load forecasting; power engineering computing; power markets; Turkish electric market; calendar data; deregulated electricity market; feedforward neural networks; forecast performance; historical price; load data; power load forecast system; short-term load forecast; Forecasting; Load forecasting; Load modeling; Mathematical model; Neural networks; Predictive models; artificial neural networks; electric market; load prediction;
Conference_Titel :
Signal Processing and Communications Applications Conference (SIU), 2015 23th
Conference_Location :
Malatya
DOI :
10.1109/SIU.2015.7129888
