Energy and Big Data: Making a Molehill out of the Mountain of Energy Data

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Summaries

Summary Sentence:

Advances in computing power and capabilities have resulted in an unprecedented amount of data flowing through all sectors of the energy industry.

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Advances in computing power and capabilities have resulted in an unprecedented amount of data flowing through all sectors of the energy industry. Research teams across Georgia Tech are developing solutions to translate all of the data into meaningful intelligence that can help industry stakeholders make more informed decisions about how they generate, use, and control their energy needs.

Spanning a broad spectrum of industries and computational technologies, including cutting-edge software, advanced hardware systems, visualization strategies and sampling techniques, researchers are helping to extract actionable information and reduce data size and complexity without compromising accuracy or integrity.

Research efforts in this areas are supported by a number of campus resources, including, Georgia Tech’s Institute for Data and High Performance Computing, Center for Data Analytics, and numerous high-performance computing labs at Georgia Tech. 

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Groups

SEI Energy

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Related Core Research Areas
Energy and Sustainable Infrastructure
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Keywords
big data, molehill, mountain, computing, data analytics
Status
  • Created By: vkaza3
  • Workflow Status: Draft
  • Created On: Aug 11, 2021 - 5:16pm
  • Last Updated: Aug 11, 2021 - 5:16pm