Statistical modeling of hourly electricity load series in Turkey

Date

2013

Author

Özpala, Pınar

Metadata

Show full item record

Item Usage Stats

0
views

0
downloads

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.

Subject Keywords

Electric power consumption, Electric utilities

URI

http://etd.lib.metu.edu.tr/upload/12615919/index.pdf
https://hdl.handle.net/11511/22593

Collections

Graduate School of Social Sciences, Thesis