Istanbul Dam Water Levels Forecasting Using ARIMA Models

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dc.authorscopusid57982966700
dc.authorscopusid57983432900
dc.authorscopusid55364564400
dc.authorscopusid6506505859
dc.contributor.authorSekban, J.
dc.contributor.authorNabil, M.O.M.
dc.contributor.authorAlsan, H.F.
dc.contributor.authorArsan, T.
dc.date.accessioned2023-10-19T15:05:33Z
dc.date.available2023-10-19T15:05:33Z
dc.date.issued2022
dc.department-tempSekban, 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, Turkeyen_US
dc.description2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022 --7 September 2022 through 9 September 2022 -- --183936en_US
dc.description.abstractRiver, 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.citation1
dc.identifier.doi10.1109/ASYU56188.2022.9925418en_US
dc.identifier.isbn9781665488945
dc.identifier.scopus2-s2.0-85142696279en_US
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/ASYU56188.2022.9925418
dc.identifier.urihttps://hdl.handle.net/20.500.12469/4945
dc.identifier.wosqualityN/A
dc.institutionauthorArsan, Taner
dc.khas20231019-Scopusen_US
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartofProceedings - 2022 Innovations in Intelligent Systems and Applications Conference, ASYU 2022en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectARIMA modelsen_US
dc.subjectARMAen_US
dc.subjectDamsen_US
dc.subjectforecastingen_US
dc.subjecttime series predictionen_US
dc.subjectwater levelsen_US
dc.subjectBehavioral researchen_US
dc.subjectDamsen_US
dc.subjectForecastingen_US
dc.subjectReservoirs (water)en_US
dc.subjectTime seriesen_US
dc.subjectTime series analysisen_US
dc.subjectARIMA modelsen_US
dc.subjectAutoregressive/moving averagesen_US
dc.subjectDam wateren_US
dc.subjectIstanbulen_US
dc.subjectRiver damsen_US
dc.subjectRiver reservoirsen_US
dc.subjectRiver wateren_US
dc.subjectSea wateren_US
dc.subjectTime series predictionen_US
dc.subjectWater level forecastingen_US
dc.subjectWater levelsen_US
dc.titleIstanbul Dam Water Levels Forecasting Using ARIMA Modelsen_US
dc.typeConference Objecten_US
dspace.entity.typePublication
relation.isAuthorOfPublication7959ea6c-1b30-4fa0-9c40-6311259c0914
relation.isAuthorOfPublication.latestForDiscovery7959ea6c-1b30-4fa0-9c40-6311259c0914

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