Energy, Power, Control, and Networks
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
| Agency | U.S. National Science Foundation |
|---|---|
| Status | Posted |
| Opportunity number | PD-18-7607 |
| Posted date | 05/19/2023 |
| Application deadline | Proposals accepted anytime |
| Award ceiling | none |
| Award floor | none |
| Assistance Listing (CFDA) | 47.041 |
| 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, storag |
| Agency contact | grantsgovsupport@nsf.gov |
| Official listing | https://www.grants.gov/search-results-detail/348258 |