Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms
From ISLAB/CAISR
| 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 |
| Level | Flexible |
| Status | Open |
