The deadline to submit a session, town hall, or pre-conference workshop proposal for AGU25 has passed. Please search for and review proposed sessions below. Please note this site is frozen as of 4/29/25 and will not reflect any changes to proposals made after this date.


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Abstract: A Machine-Learning based Framework for Evaluating Energy and Environmental Outcomes of Bioenergy Technology Uncertainties (AGU25)

A Machine-Learning based Framework for Evaluating Energy and Environmental Outcomes of Bioenergy Technology Uncertainties

Abigail Nora Birnbaum1, Maridee Weber2, Taryn Waite3, Yuan Jiang4, Kanishka Narayan4 and Marshall A Wise5, (1)Pacific Northwest National Laboratory, Richland, WA, United States, (2)Pacific Northwest National Laboratory, Joint Global Change Research Institute, Richland, WA, United States, (3)Pacific Northwest National Laboratory, Joint Global Change Research Institute, College Park, United States, (4)Pacific Northwest National Laboratory, Richland, United States, (5)Pacific Northwest National Laboratory, College Park, United States