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| Format: | Recurso digital |
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Zenodo
2025
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| Online Access: | https://doi.org/10.5281/zenodo.15119924 |
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| _version_ | 1866902091569561600 |
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| author | Letzgus, Simon |
| author_facet | Letzgus, Simon |
| contents | <p>This pickled python dictionary contains several ML models for wind turbine power curve models trained on the edp open wind turbine data sets (https://www.edp.com/en/innovation/open-data).</p> <p>They were published alongside the journal paper: S. Letzgus and K.-R. Müller, “An explainable ai framework for robust and transparent data-driven wind turbine power curve models”, Energy and AI, vol. 15, Art. no. 100328, 2024. (https://www.sciencedirect.com/science/article/pii/S2666546823001003)</p> <p>For further information, please visit: https://github.com/sltzgs/XAI4WindPowerCurves</p> <p> </p> <p> </p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_15119924 |
| institution | Zenodo |
| language | |
| publishDate | 2025 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | models_XAI4WindPowerCurves Letzgus, Simon <p>This pickled python dictionary contains several ML models for wind turbine power curve models trained on the edp open wind turbine data sets (https://www.edp.com/en/innovation/open-data).</p> <p>They were published alongside the journal paper: S. Letzgus and K.-R. Müller, “An explainable ai framework for robust and transparent data-driven wind turbine power curve models”, Energy and AI, vol. 15, Art. no. 100328, 2024. (https://www.sciencedirect.com/science/article/pii/S2666546823001003)</p> <p>For further information, please visit: https://github.com/sltzgs/XAI4WindPowerCurves</p> <p> </p> <p> </p> |
| title | models_XAI4WindPowerCurves |
| url | https://doi.org/10.5281/zenodo.15119924 |