Tumer, Abdullah ErdalKocer, SabriKoca, Arafat2024-02-232024-02-232016978-1-5090-3909-82380-8586https://hdl.handle.net/20.500.12452/1722017th IEEE International Symposium on Computational Intelligence and Informatics (CINTI) -- NOV 17-19, 2016 -- Budapest, HUNGARYElectricity is one of the most important needs of human life. In order to provide this need sufficiently, demand for the electricity needs to be predicted in advance. Conducting production oriented studies based on the estimation results is a must. In this study, electricity consumption data of Turkey between the years 1970 and 2014 were collected from Turkish Statistical Institute. Using these data, future electricity consumption of Turkey was predicted with the help of artificial neural network method. Results showed that artificial neural network can be used to predict electricity consumption.eninfo:eu-repo/semantics/closedAccessArtificial Neural NetworkElectricity ConsumptionPredictionConference Object3153182-s2.0-85015301171WOS:000399130100055