Sekban, J.Nabil, M.O.M.Alsan, H.F.Arsan, T.2023-10-192023-10-19202219781665488945https://doi.org/10.1109/ASYU56188.2022.9925418https://hdl.handle.net/20.500.12469/49452022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 --7 September 2022 through 9 September 2022 -- --183936River, sea, reservoir, and dam water levels are constantly measured by organizations and governmental bodies because of their environmental effects as well as their influence on human behavior. In this study, the monthly dam levels in Istanbul, Turkey, were predicted. Different models and configurations were compared to each other, and the best-performing model was identified. The models were based on conventional auto-regressive models (AR), moving average models (MA), auto-regressive moving average (ARMA), and ARMA with Exogenous variables (ARIMAX). © 2022 IEEE.eninfo:eu-repo/semantics/closedAccessARIMA modelsARMADamsforecastingtime series predictionwater levelsBehavioral researchDamsForecastingReservoirs (water)Time seriesTime series analysisARIMA modelsAutoregressive/moving averagesDam waterIstanbulRiver damsRiver reservoirsRiver waterSea waterTime series predictionWater level forecastingWater levelsConference Object10.1109/ASYU56188.2022.99254182-s2.0-85142696279N/AN/A