Research Output per Year
Research Output per Year
Overview
Personal Profile
Dylan Hettinger is a geospatial data scientist with expertise in statistical analysis, machine learning, and spatial statistics. Hettinger is a member of the Data Engineering Group.
Research Interests
Spatial statistics
Geospatial data analysis
Statistical learning
Sensitivity analysis
Uncertainty quantification
Deep uncertainty
Professional Experience
Geographic Information Systems Analyst, AMEC Earth & Environmental, Denver, CO (2007-2009)
Geographic Information Systems Technician, Greenhorne & O'Mara, Raleigh, NC (2005-2007)
Education/Academic Qualification
Bachelor, Geography, Appalachian State University
Master, Data Science, Colorado School of Mines
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Collaborations and Top Research Areas From the Past 5 Years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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BSM Sensitivity Analysis and Meta-Modeling Next Steps
Inman, D. & Hettinger, D., 2023, 19 p.Research output: NREL › Presentation
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Life Cycle Assessment of Closed-Loop Pumped Storage Hydropower in the United States
Simon, T., Inman, D., Hanes, R., Avery, G., Hettinger, D. & Heath, G., 2023, In: Environmental Science and Technology. 57, 33, p. 12251-12258 8 p.Research output: Contribution to journal › Article › peer-review
12 Scopus Citations -
Materials Used in U.S. Wind Energy Technologies: Quantities and Availability for Two Future Scenarios
Eberle, A., Cooperman, A., Walzberg, J., Hettinger, D., Tusing, R., Berry, D., Inman, D., Sirnivas, S., Marquis, M., Ennis, B., Sproul, E., Clarke, R., Paquette, J., Hendrickson, T., Morrow, W., Das, S., Korey, M., Paranthaman, P., Norris, R. & Ghobrial, L. & 2 others, , 2023, 102 p.Research output: NREL › Technical Report
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Renewable Energy Materials Properties Database: Summary
Cooperman, A., Eberle, A., Hettinger, D., Marquis, M., Smith, B., Tusing, R. & Walzberg, J., 2023, 47 p.Research output: NREL › Technical Report
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Battery Energy Storage Scenario Analyses Using the Lithium-Ion Battery Resource Assessment (LIBRA) Model
Weigl, D., Inman, D., Hettinger, D., Ravi, V. & Peterson, S., 2022, 44 p.Research output: NREL › Technical Report