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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Green Open Access

No

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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, Time series, Time series analysis, forecasting, Time series prediction, River dams, Dam water, River water, Sea water, time series prediction, ARIMA models, Autoregressive/moving averages, water levels, River reservoirs, Behavioral research, Reservoirs (water), Istanbul, ARMA, Dams, Water level forecasting, Water levels, Forecasting

Fields of Science

0208 environmental biotechnology, 0207 environmental engineering, 02 engineering and technology

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1

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Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022

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1

End Page

7
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Scopus : 3

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Mendeley Readers : 11

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3

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18

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