Energy Department Announces $3.6 Million in Machine Learning for Geothermal Energy
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The Energy Department announced up to $3.6 million for 4-6 projects that will focus on early-stage R&D applications in machine learning to develop technology improvements in exploration and operational improvements for geothermal resources. The rapidly advancing field of machine learning offers substantial opportunities for technology advancement and cost reduction throughout the geothermal project lifecycle, from resource exploration to power plant operations.
Through this funding opportunity announcement (FOA), DOE's Office of Energy Efficiency and Renewable Energy Geothermal Technologies Office (GTO) will fund projects to support new analytical tools for finding and developing geothermal resources, to establish the practice of machine learning in the geothermal industry, and maximize the value of the rich datasets utilized in the geosciences.
GTO will provide funding in two areas:
For consideration of full application, applicants must submit their concept paper by 5 p.m. ET on Aug. 23, 2018 to be eligible to submit a full application. View the FOA and submission instructions.