Difference between revisions of "Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms"
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| − | |Summary= | + | |Summary=ML algorithms will be used to analyze meteorological data to predict the electricity generation capacity of solar and wind power plants. This project is a collaboration between Halmstad and Sam Houston University (USA)). |
|Supervisor=Reza Khoshkangini, Ramin Sahba, Amin Sahba | |Supervisor=Reza Khoshkangini, Ramin Sahba, Amin Sahba | ||
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Revision as of 07:46, 6 October 2021
| Title | Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms |
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| Summary | ML algorithms will be used to analyze meteorological data to predict the electricity generation capacity of solar and wind power plants. This project is a collaboration between Halmstad and Sam Houston University (USA)). |
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| Supervisor | Reza Khoshkangini, Ramin Sahba, Amin Sahba |
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