Publications and Datasets from Play-Fairway Retrospective Analysis with Emphasis on Developing Improved Hydrothermal Energy Assessments
L o a d i n g
Organization
National Renewable Energy Laboratory (NREL) - view all
Update frequencyunknown
Last updated6 days ago
OverviewEGSPFAbias reductioncharacterizationdata-drivenenergyenergy assessmentfavorabilitygeosciencegeothermalhydrothermallow tempmachine learningmappingprocessed dataresourceresource assessmentretrospectivewestern US
Previous moderate- and high-temperature geothermal resource assessments of the western United States utilized data-driven methods and expert decisions to estimate resource favorability. Although expert decisions can add confidence to the modeling process by ensuring reasonable models are employed, expert decisions also introduce human and, thereby, model bias. This bias can present a source of error that reduces the predictive performance of the models and confidence in the resulting resource estimates. This study aims to develop robust data-driven methods with the goals of reducing bias and improving predictive ability. This submission includes a list of papers, data releases, and presentations produced as part of this work.
Additional Information
KeyValue
Dcat Issued2023-02-07T07:00:00Z
Dcat Modified2023-07-25T18:06:00Z
Dcat Publisher NameUnited States Geological Survey
Guidhttps://data.openei.org/submissions/7589
Harvest Object Iddbe5faca-a8ff-4489-9555-671919957178
Harvest Source Id4eb7107f-a2b1-40e3-b36a-8161aa98a56e
Harvest Source TitleOpenEI Data Portal