Boltürk, EdaÖztayşi, BaşarUçal Sarı, İrem2020-11-212020-11-2120129781470000000https://doi.org/10.1109/CINTI.2012.6496768https://hdl.handle.net/11467/415013th IEEE International Symposium on Computational Intelligence and Informatics, CINTI 2012 -- 20 November 2012 through 22 November 2012 -- Budapest -- 96765Electricity 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. © 2012 IEEE.eninfo:eu-repo/semantics/closedAccessdeseasonalizationElectricity demand forecastingfuzzy time seriesConference Object245249N/AWOS:000319991600041N/A2-s2.0-8487693881810.1109/CINTI.2012.6496768