Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms
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| Title | Predicting electricity generation capacity in solar and wind power plants based on meteorological data using machine learning algorithms |
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| Summary | Machine learning and artificial intelligence algorithms will be used to analyze meteorological data in order to predict the electricity generation capacity of solar and wind power plants, and the optimum size of their required batteries. (This project is a collaboration between Halmstad University and Sam Houston State University (USA)). |
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| Supervisor | Reza Khoshkangini, Ramin Sahba, Amin Sahba |
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