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Feizi, Hajar, Apaydin, Halit, Sattari, Mohammad Taghi, Colak, Muslume Sevba, Sibtain, Muhammad (2022) Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey. Stochastic Environmental Research and Risk Assessment, 36 (10) 3149-3169 doi:10.1007/s00477-022-02185-3

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Reference TypeJournal (article/letter/editorial)
TitleImproving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey
JournalStochastic Environmental Research and Risk Assessment
AuthorsFeizi, HajarAuthor
Apaydin, HalitAuthor
Sattari, Mohammad TaghiAuthor
Colak, Muslume SevbaAuthor
Sibtain, MuhammadAuthor
Year2022 (October)Volume36
Issue10
PublisherSpringer Science and Business Media LLC
DOIdoi:10.1007/s00477-022-02185-3Search in ResearchGate
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Mindat Ref. ID15401488Long-form Identifiermindat:1:5:15401488:9
GUID0
Full ReferenceFeizi, Hajar, Apaydin, Halit, Sattari, Mohammad Taghi, Colak, Muslume Sevba, Sibtain, Muhammad (2022) Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey. Stochastic Environmental Research and Risk Assessment, 36 (10) 3149-3169 doi:10.1007/s00477-022-02185-3
Plain TextFeizi, Hajar, Apaydin, Halit, Sattari, Mohammad Taghi, Colak, Muslume Sevba, Sibtain, Muhammad (2022) Improving reservoir inflow prediction via rolling window and deep learning-based multi-model approach: case study from Ermenek Dam, Turkey. Stochastic Environmental Research and Risk Assessment, 36 (10) 3149-3169 doi:10.1007/s00477-022-02185-3
In(2022, October) Stochastic Environmental Research and Risk Assessment Vol. 36 (10) Springer Science and Business Media LLC

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