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CARC integral in Ph.D. candidate's dissertation on solar forecasting

CARC integral in Ph.D. candidate's dissertation on solar forecasting
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UNM researchers optimize solar power using AI


University of New Mexico Department of Electrical and Computer Engineering Ph.D. candidate Guillermo Terrén-Serrano and Professor Manel Martínez-Ramón, in association with New Mexico New Mexico Established Program to Stimulate Competitive Research (NM EPSCoR), have developed an artificial intelligence algorithm that optimizes the performance of solar power by predicting cloud cover.
On February 19, 2021, the US officially rejoined 194 other countries as a party to the Paris Climate Agreement. The 2016 US INDC submitted by the Obama administration pledges a 26-28 percent reduction in greenhouse gas emission by 2025 (compared to 2005 emissions).
To reach this goal, the US will need to increase its use of renewable energy sources like solar power. Further research and development are needed, however, to improve the efficiency and reliability of clean energy. In pursuance of this goal, Terrén-Serrano and Martínez-Ramón are working to address some of the challenges associ ....

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