Machine Learning-based Real-Time Optimal Switching of Reconfigurable Microgrids
Awarded Award Notice Posted
- Solicitation number
- W9132T21C0007
- Agency
- Engineer Research and Development Center US Army Corps of Engineers, Department of Defense
- Awarded
- to University Of Texas At Dallas
- Set-aside
- No set-aside
Opportunity facts
- Contract number
- W9132T21C0007 Federal contract award
- NAICS code
- 541715 Research and Development in the Physical, Engineering, and Life Sciences (except Nanotechnology and Biotechnology)
- Place of performance
- USA
Notice details come from SAM.gov. Updated .
About this opportunity
The Department of the Army Corps of Engineers Engineer Research and Development Center awarded a $104,173.11 contract to the University of Texas at Dallas to develop machine learning techniques to optimize the real-time switching and configuration of microgrid systems under contract W9132T21C0007. The University's proposal entitled "Machine Learning-based Real-Time Optimal Switching of Reconfigurable Microgrids" was selected to support research and development efforts focused on utilizing machine learning to improve microgrid operations.
Notice text
BAA contract awarded in response to the University of Texas at Dallas's proposal entitled, "Machine Learning-based Real-Time Optimal Switching of Reconfigurable Microgrids."
Awarded contract W9132T21C0007 to UNIVERSITY OF TEXAS AT DALLAS for 104173.11 on 2021-01-22.
Notice history
| Notice | Type | Posted |
|---|---|---|
| BAA Adaptive OT Threat Analysis Technology | Award Notice | |
| Virginia Tech BAA Proposal 20-C019 | Award Notice | |
| Transcend Engineering BAA Proposal 20-C020 | Award Notice | |
| Machine Learning-based Real-Time Optimal Switching of Reconfigurable Microgrids | Award Notice | |
| 2020 ERDC Broad Agency Announcement (BAA) | Solicitation |
And 13 more award notices.
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