ClimateHack.AI 2022 was a satellite imagery generation challenge that ran between January & March 2022.
Climate Hack.AI 2022 was a collaborative initiative between the student communities of 25 universities leading in CS and AI from across the United States, the United Kingdom and Canada to take a lead in the fight against climate change using machine learning.
Participants had two months to apply cutting-edge machine learning techniques in order to develop the best satellite imagery prediction algorithm for use in solar photovoltaic output forecasting applications.
ClimateHack.AI 2022 was open to students, no matter their level of machine learning experience, who were enrolled at the following universities: Bristol, Caltech, Cambridge, Carnegie Mellon, Columbia, Cornell, Edinburgh, Georgia Tech, Glasgow, Harvard, Illinois Urbana-Champaign, Imperial College London, Manchester, Michigan, MIT, Oxford, Princeton, St Andrews, Stanford, Toronto, University College London (UCL), UC Berkeley, UCLA, Warwick and Waterloo.
The first-place team's model was the best model Open Climate Fix had seen for cloud movement tracking, and Open Climate Fix's live production solar power forecasting service is being used by the National Grid Electricity System Operator in Great Britain to cut emissions potentially by up to 100 kilotonnes per year.
In-person finals were held at Harvard University and University College London from Thursday 24th March until Saturday 26th March 2022.