This grant from the EPCN Program supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems, addressing uncertainty and resource allocation. It also invests in novel machine learning, adaptive dynamic programming, and neuromorphic engineering. The grant encourages research into emerging technologies and applications like energy, transportation, robotics, and biomedical devices. Significant emphasis is placed on electric power systems, including generation, transmission, storage, and renewable energy integration into the grid. It also covers power electronics, electric vehicles, and the interplay of power systems with regulatory and economic structures, alongside consumer behavior. Key research areas include control systems, energy, power electronics, and learning and adaptive systems.
Opportunity ID: 359395
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PD-16-7607 |
| Funding Opportunity Title: | Energy, Power, Control, and Networks |
| Opportunity Category: | Discretionary |
| Opportunity Category Explanation: | – |
| Funding Instrument Type: | Grant |
| Category of Funding Activity: | Science and Technology and other Research and Development |
| Category Explanation: | – |
| Expected Number of Awards: | – |
| Assistance Listings: | 47.041 — Engineering |
| Cost Sharing or Matching Requirement: | No |
| Version: | Synopsis 1 |
| Posted Date: | Jun 06, 2025 |
| Last Updated Date: | Jun 06, 2025 |
| Original Closing Date for Applications: | – Opportunity is Archived |
| Current Closing Date for Applications: | – Opportunity is Archived |
| Archive Date: | Jun 07, 2025 |
| Estimated Total Program Funding: | – |
| Award Ceiling: | – |
| Award Floor: | – |
Eligibility
| Eligible Applicants: | Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled “Additional Information on Eligibility” |
| Additional Information on Eligibility: | – |
Additional Information
| Agency Name: | U.S. National Science Foundation |
| Description: | The Energy, Power, Control, andNetworks (EPCN) Program supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems, higher-level decision making, and dynamic resource allocation, as well as risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. EPCN also invests in novel machine learning algorithms and analysis, adaptive dynamic programming, brain-like networked architectures performing real-time learning, and neuromorphic engineering. EPCN’s goal is to encourage research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems. EPCN also emphasizes electric power systems, including generation, transmission, storage, and integration of renewable energy sources into the grid; power electronics and drives; battery management systems; hybrid and electric vehicles; and understanding of the interplay of power systems with associated regulatory & economic structures and with consumer behavior.
Areas managed by Program Directors (please contact Program Directors listed in the EPCN staff directory for areas of interest): Control Systems
Energy and Power Systems
Power Electronics Systems
Learning and Adaptive Systems
|
| Link to Additional Information: | NSF Program Desccription PD-16-7607 |
| Grantor Contact Information: | If you have difficulty accessing the full announcement electronically, please contact:
NSF grants.gov support
grantsgovsupport@nsf.gov Email:grantsgovsupport@nsf.gov |
Version History
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