Three students, including a master’s student from mechatronics engineering, have been awarded $17,000 after winning ClimateHack.AI, an international competition that focuses on machine learning in climate solutions.
The competition focuses on AI solutions that can reduce carbon emissions by developing more accurate techniques for forecasting site-level solar power production. The Waterloo team travelled to Harvard University in April to present their solution to machine learning industry experts and researchers, and the team came out to impress with the most accurate model on the global leaderboard.
The team will continue to work alongside Open Climate Fix (OCF) by supporting the organization's ambitious goal to reduce carbon emissions by 100 kilo-tonnes per year through solar forecasting.
Get the full story in Engineering News.