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dc.contributor.authorRawlings-Goss, Renata
dc.date.accessioned2016-10-27T19:32:21Z
dc.date.available2016-10-27T19:32:21Z
dc.date.issued2016-09-06
dc.identifier.urihttp://hdl.handle.net/1853/55976
dc.descriptionPresented on September 6, 2016 from 8:00 a.m.-8:10 a.m. at the Klaus Advanced Computing Building, Room 1116W, Georgia Institute of Technology.en_US
dc.descriptionSouth Big Data Innovation Hub : Applications of Analytics and Machine Learning in Energy Industry-Academia Workshopen_US
dc.descriptionRuntime: 08:05 minutesen_US
dc.description.abstractThe goal is to connect industry partners with academic researchers in the domains of Energy: Power, Smart Grid, etc as well as Big Data and Data Science. Speakers will be specifically selected to share their perspective on high-impact applications or challenges surrounding the use of data science, analytics, informatics, and machine learning in the Energy space. Attendees will come from academic research institutions across the 16 states that comprise the South Big Data Innovation Hub and industrial partners across the country. Participants will engage in active scoping and round-table discussions in order to build partnerships across highimpact application verticals.en_US
dc.language.isoen_USen_US
dc.publisherGeorgia Institute of Technologyen_US
dc.relation.ispartofseriesApplications of Analytics and Machine Leaming in Energy Industry-Academia Workshopen_US
dc.subjectSouth Big Data Huben_US
dc.titleApplications of Analytics and Machine Learning in Energy Industry-Academia Workshop : Welcome and Overviewen_US
dc.typePresentationen_US
dc.contributor.corporatenameGeorgia Institute of Technology. Institute for Data Engineering and Scienceen_US
dc.contributor.corporatenameUniversity of North Carolina at Chapel Hillen_US


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