Forecasting Turkey´s short term hourly load with artificial neural networks

Short term load forecasting (STLF) is necessary for economic and reliable timely information to operate an energy system and secure electricity. In this study, STLF systems were developed for nine load distribution regions of Turkey using artificial neural networks (ANN) approach. To our knowledge this is the first study that estimated the short term hourly load of all load distribution regions of Turkey with specific temperature data. The mean average percent error of total hourly load forecast for Turkey is found as 1.81%.