Harnessing Remote Sensing & Machine Learning for Energy-Climate Policy

Angel Hsu (Assistant Professor, University of North Carolina at Chapel Hill, Environment, Ecology, and Energy Program) presented during the panel “Opportunities with Remote Sensing for Energy & Climate Data II: Innovations on the Horizon” at the 2023 Energy Data Analytics Symposium, held Oct. 26–27, 2023, at Duke University.

The symposium explored how data science tools, including AI, can help make energy systems more accessible, affordable, reliable, and environmentally sustainable. The two-day event highlighted the work of established experts and energy professionals, as well as emerging scholars in the field.

This event is aligned with the Duke Climate Commitment, which unites the university’s education, research, operations and public service missions to address the climate crisis.

(* Note: Conclusions reached or positions taken by researchers or other grantees represent the views of the grantees themselves and not those of the Alfred P. Sloan Foundation or its trustees, officers, or staff.)

(** Note: Trade names and trademarks are used in this presentation for identification only. Their usage does not constitute an official endorsement, either expressed or implied, by the National Aeronautics and Space Administration.)