Sust Global's research paper Wind Power in a Warming World: Diffusion-Based Downscaling of CMIP6 Climate Projections for Future Energy Planning was selected for a spotlight presentation at International Conference on Learning Representations 2025, one of the leading global machine learning conferences.

Sust Global's Senior Climate Data Scientist Mike Sierks presents Sust Global's novel Denoising Diffusion Probabilistic Model-based approach to building high-resolution climate-adjusted wind energy generation projections to support wind energy investment decisions optimized for climate change. See the presentation at the link below:

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