The UC San Diego researcher spoke at RE:WIRED Green about ways to use advanced control theory and machine learning to maximize sustainable energy sources.
THE UNITED STATES’ power grid is in trouble. Much of the country’s energy comes from nonrenewable resources that contribute to climate change. And as the resulting climate crisis brings more frequent heat waves, wildfires, and freezes, demand on the grid becomes greater and more erratic. The strain is heavy, but Patricia Hidalgo-Gonzalez has ideas for how to relieve the burden on the grid.
Hidalgo-Gonzalez directs the Renewable Energy and Advanced Mathematics (REAM) lab at UC San Diego. Her work focuses on finding new ways to incorporate more sustainable power into the grid, the kind of research that could create solutions for the blackouts that hit places like California and Texas during extreme temperature changes. “Unfortunately, we are expecting this almost every summer now,” Hidalgo-Gonzalez told attendees at the RE:WIRED Green conference on Wednesday.