Abstract: A smarter way to search, share and utilize open-spatial online data for energy R&D – Custom machine learning and GIS tools in U.S. DOE’s virtual data library & laboratory, EDX (2017 AGU Fall Meeting)

A smarter way to search, share and utilize open-spatial online data for energy R&D – Custom machine learning and GIS tools in U.S. DOE’s virtual data library & laboratory, EDX

Kelly Rose¹, Jennifer Bauer¹, Dan McFarland², Aaron Barkhurst², Andrew Bean³, Jennifer DiGiulio⁴, Kate Jones⁵, TJ Jones², Devin Justman⁶, Roy Miller III⁵, Lucy Romeo⁴, Michael Sabbatino⁷ and Alexander Tong⁵, (1)National Energy Technology Laboratory, Albany, United States, (2)MATRIC, Morgantown, WV, United States, (3)University of South Carolina, Columbia, SC, United States, (4)AECOM, Albany, OR, United States, (5)ORISE, NETL, Albany, OR, United States, (6)Leidos Research Support Team, Albany, OR, United States, (7)Leidos Research Support Team, Albany, United States

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