Statistical modeling of hourly electricity load series in Turkey

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2013
Özpala, Pınar
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This study investigates Heterogeneous Double Seasonal ARIMA model, Heterogeneous Periodic AR model and a nonlinear model of Multiple Regime Logistic STAR model by application of hourly electricity load data between years 2006-2007 in Turkey. Forecast results suggest that Heterogeneous Double Seasonal ARIMA model is the best among three methods forecasting up to one day.
Electric power consumption, Electric utilities
http://etd.lib.metu.edu.tr/upload/12615919/index.pdf
https://hdl.handle.net/11511/22593
Graduate School of Social Sciences, Thesis

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Citation Formats
P. Özpala, “Statistical modeling of hourly electricity load series in Turkey,” M.S. - Master of Science, Middle East Technical University, 2013.
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