Istanbul Dam Water Levels Forecasting Using ARIMA Models

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dc.authorscopusid 57982966700
dc.authorscopusid 57983432900
dc.authorscopusid 55364564400
dc.authorscopusid 6506505859
dc.contributor.author Arsan, Taner
dc.contributor.author Nabil, M.O.M.
dc.contributor.author Alsan, H.F.
dc.contributor.author Arsan, T.
dc.contributor.other Computer Engineering
dc.date.accessioned 2023-10-19T15:05:33Z
dc.date.available 2023-10-19T15:05:33Z
dc.date.issued 2022
dc.department-temp Sekban, J., Kadir Has University, Mis Department, Istanbul, Turkey; Nabil, M.O.M., Kadir Has University, Computer Engineering Department, Istanbul, Turkey; Alsan, H.F., Kadir Has University, Computer Engineering Department, Istanbul, Turkey; Arsan, T., Kadir Has University, Computer Engineering Department, Istanbul, Turkey en_US
dc.description 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 --7 September 2022 through 9 September 2022 -- --183936 en_US
dc.description.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. en_US
dc.identifier.citationcount 1
dc.identifier.doi 10.1109/ASYU56188.2022.9925418 en_US
dc.identifier.isbn 9781665488945
dc.identifier.scopus 2-s2.0-85142696279 en_US
dc.identifier.scopusquality N/A
dc.identifier.uri https://doi.org/10.1109/ASYU56188.2022.9925418
dc.identifier.uri https://hdl.handle.net/20.500.12469/4945
dc.identifier.wosquality N/A
dc.khas 20231019-Scopus en_US
dc.language.iso en en_US
dc.publisher Institute of Electrical and Electronics Engineers Inc. en_US
dc.relation.ispartof Proceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 en_US
dc.relation.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 1
dc.subject ARIMA models en_US
dc.subject ARMA en_US
dc.subject Dams en_US
dc.subject forecasting en_US
dc.subject time series prediction en_US
dc.subject water levels en_US
dc.subject Behavioral research en_US
dc.subject Dams en_US
dc.subject Forecasting en_US
dc.subject Reservoirs (water) en_US
dc.subject Time series en_US
dc.subject Time series analysis en_US
dc.subject ARIMA models en_US
dc.subject Autoregressive/moving averages en_US
dc.subject Dam water en_US
dc.subject Istanbul en_US
dc.subject River dams en_US
dc.subject River reservoirs en_US
dc.subject River water en_US
dc.subject Sea water en_US
dc.subject Time series prediction en_US
dc.subject Water level forecasting en_US
dc.subject Water levels en_US
dc.title Istanbul Dam Water Levels Forecasting Using ARIMA Models en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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