Reference:Reference-038878
From CSDMS
Publication information
| Author(s) | Kim, Byeongtaek; Ko, Kyungnam; |
| BibType | journalArticle |
| Title | Application of multi-source data for improvement of day-ahead wind power forecasting with machine learning models |
| Year | 2025-12 |
| Journal | Journal of Mechanical Science and Technology |
| Volume | 39 |
| Pages | 7921–7930 |
| URL | https://link.springer.com/10.1007/s12206-025-1147-8 |
| DOI | 10.1007/s12206-025-1147-8 |
| Note | Auto downloaded ref at: 2026-06-12 |
Open Access
| Icon | Status | Best URL | Best PDF URL | License | Version | Last checked |
|---|---|---|---|---|---|---|
| closed | 2026-10-15 |
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| Feature reference | No | |
| Semantic_ID | ee84b84aad08464e9f0becc5e1d6dfd9add60ba0 | |
| Nr of citations | 0 | |
| Sort of publication | a module application description | |
| Sort of model publication | a single module | |
| Is the CSDMS HPC used | No | |
| If HPC is used, for what project was it?: | ||
| Associated simulation movie if any: |
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| Model(s) discussed: | WRF
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