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20222025

Research Activity per Year

Overview

Personal Profile

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Brandon Benton's research falls broadly into wind and solar modeling, with a specific focus on renewable resource availability. He uses a combination of conventional physics based simulations and machine learning to generate wind and solar data at spatiotemporal scales needed for energy systems planning. Examples of this data include Sup3rWind/Sup3rCC, generated with the "Super Resolution for Renewable Energy Resource Data" or "Sup3r" framework, and the National Solar Radiation Database. 

Research Interests

Earth systems modeling

Downscaling

Weather forecasting

Physics-based machine learning

Education/Academic Qualification

PhD, Physics, Cornell University

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Collaborations and Top Research Areas From the Past 5 Years

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