Forecasting Turkey's Short Term Hourly Load with Artificial Neural Networks

Girep, C. P.
Load forecasting is important necessity to provide economic, reliable, high grade energy. In this study, short term hourly load forecasting systems were developed for nine load distribution regions of Turkey using artificial neural networks (ANN) approach. ANN is the most commonly preferred approach for load forecasting. The mean average percent error (MAPE) of total hourly load forecast for Turkey is found as 1.81%.


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Citation Formats
M. BİLGİÇ KÜÇÜKGÜVEN, C. P. Girep, S. Y. ASLANOĞLU, and M. AYDINALP KÖKSAL, “Forecasting Turkey’s Short Term Hourly Load with Artificial Neural Networks,” 2010, p. 0, Accessed: 00, 2020. [Online]. Available: