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Machine learning for a solar power plant

Solar energy efficiency

#1 Project of the Week

This is the final project during the 3 month bootcamp studies at Propulsion Academy Zurich. We correctly identified several reasons that drop panel efficiency, either due to Physical phenomena and Technical aspects of the solar panels. The model can identify the trend of panel efficiency over time and detect the impact of soiling on solar panels. More info on the project can be found on the presentation. The team: Daniel Gisler, Konstantinos Kirtsonis, Dave Lonsdale

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