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Machine Learning–Adjusted WRF Forecasts to Support Wind Energy Needs in Black Start Operations

dc.contributor.authorHugeback, Kyle K.
dc.contributor.authorGallus, William A.
dc.contributor.authorVillegas Pico, Hugo N.
dc.date.accessioned2024-12-24T13:53:52Z
dc.date.available2024-12-24T13:53:52Z
dc.date.copyright01 Sep. 2023
dc.date.issued2023
dc.identifier.otherwefo-WAF-D-23-0023.1.pdf
dc.identifier.urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299799
dc.languageEnglish
dc.publisherAmerican Meteorological Society
dc.titleMachine Learning–Adjusted WRF Forecasts to Support Wind Energy Needs in Black Start Operations
dc.typeJournal Paper
dc.journal.volume38
dc.journal.issue9
dc.journal.titleWeather and Forecasting
dc.identifier.doi10.1175/WAF-D-23-0023.1
dc.journal.fristpage1553
dc.journal.lastpage1561
dc.treeWeather and Forecasting:;2023:;volume( 038 ):;issue: 009
dc.contenttypeFulltext


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