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=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)). | |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 | ||
| + | |Level=Flexible | ||
| + | |Status=Open | ||
}} | }} | ||
Latest revision as of 13:58, 6 October 2021
| Title | Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms |
|---|---|
| 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)). |
| Keywords | |
| TimeFrame | |
| References | |
| Prerequisites | |
| Author | |
| Supervisor | Reza Khoshkangini, Ramin Sahba, Amin Sahba |
| Level | Flexible |
| Status | Open |
