Machine Learning–Adjusted WRF Forecasts to Support Wind Energy Needs in Black Start OperationsSource: Weather and Forecasting:;2023:;volume( 038 ):;issue: 009::page 1553DOI: 10.1175/WAF-D-23-0023.1Publisher: American Meteorological Society
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| contributor author | Hugeback, Kyle K. | |
| contributor author | Gallus, William A. | |
| contributor author | Villegas Pico, Hugo N. | |
| date accessioned | 2024-12-24T13:53:52Z | |
| date available | 2024-12-24T13:53:52Z | |
| date copyright | 01 Sep. 2023 | |
| date issued | 2023 | |
| identifier other | wefo-WAF-D-23-0023.1.pdf | |
| identifier uri | http://yetl.yabesh.ir/yetl1/handle/yetl/4299799 | |
| language | English | |
| publisher | American Meteorological Society | |
| title | Machine Learning–Adjusted WRF Forecasts to Support Wind Energy Needs in Black Start Operations | |
| type | Journal Paper | |
| journal volume | 38 | |
| journal issue | 9 | |
| journal title | Weather and Forecasting | |
| identifier doi | 10.1175/WAF-D-23-0023.1 | |
| journal fristpage | 1553 | |
| journal lastpage | 1561 | |
| tree | Weather and Forecasting:;2023:;volume( 038 ):;issue: 009 | |
| contenttype | Fulltext |