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Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms
Level Flexible  +
OneLineSummary 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)).  +
StudentProjectStatus Open  +
Supervisors Reza Khoshkangini + , Ramin Sahba + , Amin Sahba +
Title Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms  +
Categories StudentProject  +
Modification dateThis property is a special property in this wiki. 6 October 2021 12:58:35  +
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