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There is now a CONTENT FREEZE for Mercury while we switch to a new platform. It began on Friday, March 10 at 6pm and will end on Wednesday, March 15 at noon. No new content can be created during this time, but all material in the system as of the beginning of the freeze will be migrated to the new platform, including users and groups. Functionally the new site is identical to the old one. webteam@gatech.edu
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Summary Sentence: Strategic Energy Institute Executive Director Tim Lieuwen presented information at the "Applications of Analytics and Machine Learning in Energy Industry-Academia" workshop, September 6 on the Georgia Tech campus
Full Summary: No summary paragraph submitted.
Tim Lieuwen speaks about Energy in an Information Age at South Big Data HubStrategic Energy Institute Executive Director Tim Lieuwen presented information at the "Applications of Analytics and Machine Learning in Energy Industry-Academia" workshop, September 6 on the Georgia Tech campus. A diverse group of approximately 50 participants attended the event which was hosted by the South Big Data Hub, managed by Georgia Tech's Institute for Data Engineering and Science and the University of North Carolina at Chapel Hill. Speakers provided their perspective on high-impact applications or challenges surrounding the use of data science, analytics, informatics, and machine learning in the Energy space.
Lieuwen’s presentation, "Energy in an Information Age", examined the intersection of physical and digital worlds between operating platforms, data and networked energy infrastructure. Examples of this connectivity include smart outlets that turn a device or appliance off or on from a remote location. Energy used is tracked, compiled into data and personalized data is delivered. Connected cars, activity trackers and smart thermostats are also examples of the connection between energy and data.
The workshop connected industry partners with academic researchers in the domains of energy: power, smart grid, etc., as well as Big Data and data science. Speakers shared their perspective on high-impact applications or challenges surrounding the use of data science, analytics, informatics, and machine learning in energy. Roundtable discussion were also held.
