Istanbul Dam Water Levels Forecasting Using ARIMA Models
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Date
2022
Authors
Sekban, J.
Nabil, M.O.M.
Alsan, H.F.
Arsan, T.
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Institute of Electrical and Electronics Engineers Inc.
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Abstract
River, 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.
Description
2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 --7 September 2022 through 9 September 2022 -- --183936
Keywords
ARIMA models, ARMA, Dams, forecasting, time series prediction, water levels, Behavioral research, Dams, Forecasting, Reservoirs (water), Time series, Time series analysis, ARIMA models, Autoregressive/moving averages, Dam water, Istanbul, River dams, River reservoirs, River water, Sea water, Time series prediction, Water level forecasting, Water levels
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Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022