Speaker: Prof. Yang Chen, University of Michigan, Ann Arbor, USA
Date: Wednesday June 29, 2022, at 11.30 CLT (check here your own time zone)
Abstract: Solar flare prediction is an important task, which impacts national power grid robustness, satellite signal stability, and safety of astronauts’ exploration of space. In recent years, the solar flare prediction problem has caught more attention among the machine learning and statistics community. In this talk, I will give an introduction on our efforts on solar flare
forecasting with existing and innovative machine learning and statistical models. We obtain highly competitive results for flare forecasting with highly interpretable models, which contributes both to operational use and the science itself.