Title :
Electricity consumption forecasting using fuzzy time series
Author :
Bolturk, E. ; Oztaysi, B. ; Sari, I.U.
Author_Institution :
Ind. Eng., Istanbul Commerce Univ., Istanbul, Turkey
Abstract :
Electricity is an important issue in energy management. Because of characteristic of electricity´s non-storability, management of electricity is very valuable process. In this study, a Turkish company´s two years electricity consumption have examined in order to predict possible electricity consumption. We used fuzzy time series with Singh´s Method. Further, with the same data we compared total values of three periods (Unified consumption amount) and total consumption forecasts with their actuals. Finally we decide that which way is more accurate with root-mean-square deviation evaluation.
Keywords :
energy management systems; load forecasting; load management; mean square error methods; power consumption; time series; Singh´s method; Turkish company; Unified consumption amount; electricity consumption forecasting; electricity management; energy management; fuzzy time series; root-mean-square deviation; total consumption forecasts; Electricity demand forecasting; deseasonalization; fuzzy time series;
Conference_Titel :
Computational Intelligence and Informatics (CINTI), 2012 IEEE 13th International Symposium on
Conference_Location :
Budapest
Print_ISBN :
978-1-4673-5205-5
Electronic_ISBN :
978-1-4673-5210-9
DOI :
10.1109/CINTI.2012.6496768
