Organized by MACSER members from the University of Wisconsin - Madison, the virtual forum showcased new computing technologies, with one of the three tracks highlighting the mathematics of rare and high-impact events.
Mihai Anitescu, senior computational mathematician in Argonne’s Mathematics and Computer Science (MCS) Division and leader of the MACSER project, spoke on recent accomplishments by MACSER colleagues. Julie Bessac, an assistant computational statistician in the MCS Division, presented a talk titled “A stochastic weather generator for hourly temperature in the Midwest for long-term investment in power grid systems.”
Other talks at the session track, presented by University of Wisconsin and PNNL team members, included major challenges such as balancing wildfire risk and power system reliability, using high-performance computing to understand extreme rainfall, addressing climate change with dynamic technologies and robustifying statistical machine learning.
The full agenda of the forum is available here.