Opportunity: DE-FOA-0001861

Description 

The goal of this FOA is to explore the use of big data, artificial intelligence (AI), and machine learning technology and tools on PMU data to identify and improve existing knowledge, and to discover new insights and tools for better grid operation and management. Applicants selected for award will receive pre-packaged datasets assembled exclusively for their use executing awards resulting from this FOA. Applicants selected for award will be asked to address specific questions and research areas regarding the data. Applicants selected for award will publicly present their analytical results at a DOE-sponsored event to inform stakeholders in the electricity sector who develop and use analytical and decision-making tools on PMU and other power system data.

Overview 
Reference number: DE-FOA-0001861
Issue date: 09/25/2018
Response due: 11/09/2018 08:00 PM US/Eastern

Set Aside:
NAICS:
PSC / FSC:

Agency: DOE

Contracting office:

National Energy Technology Lab
U.S. Department of Energy
Morgantown Campus
3610 Collins Ferry Road
P.O. Box 880
Morgantown, WV 26507-0880


Place of Performance:




Contact: Maureen Davison
Phone:
Fax:
Email: Maureen.Davison@NETL.DOE.GOV

Vendors conference:

Location:



Details:



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Documentation 

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