This grant, offered by the Electrical, Communications and Cyber Systems (ECCS) department, is for supporting innovative research in Energy, Power, Control, and Networks (EPCN). It aims to advance modeling, optimization, learning, adaptation, and control of networked multi-agent systems, focusing on higher-level decision-making, dynamic resource allocation, and risk management under uncertainty. The program encourages interdisciplinary research on emerging technologies like energy, transportation, robotics, and biomedical devices. Specific areas include electric power systems (generation, transmission, storage, renewable integration, grid resilience, and cybersecurity), advanced power electronics, and sophisticated learning and adaptive systems such as neural networks, neuromorphic engineering, and machine learning. This grant seeks to foster foundational advancements and practical applications in these critical engineering domains.
Opportunity ID: 348258
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PD-18-7607 |
| 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 2 |
| Posted Date: | May 19, 2023 |
| Last Updated Date: | Feb 23, 2024 |
| Original Closing Date for Applications: | – Proposals accepted anytime |
| Current Closing Date for Applications: | – Proposals accepted anytime |
| Archive Date: | – |
| 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-18-7607 |
| 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
| Version | Modification Description | Updated Date |
|---|---|---|
| . | Feb 23, 2024 | |
| May 19, 2023 |
DISPLAYING: Synopsis 2
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PD-18-7607 |
| 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 2 |
| Posted Date: | May 19, 2023 |
| Last Updated Date: | Feb 23, 2024 |
| Original Closing Date for Applications: | – Proposals accepted anytime |
| Current Closing Date for Applications: | – Proposals accepted anytime |
| Archive Date: | – |
| 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-18-7607 |
| 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 |
DISPLAYING: Synopsis 1
General Information
| Document Type: | Grants Notice |
| Funding Opportunity Number: | PD-18-7607 |
| 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: | May 19, 2023 |
| Last Updated Date: | May 19, 2023 |
| Original Closing Date for Applications: | – |
| Current Closing Date for Applications: | – Proposals accepted anytime |
| Archive Date: | – |
| 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-18-7607 |
| 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 |
Related Documents
There are no related documents on this grant.
Packages
| Agency Contact Information: | NSF grants.gov support grantsgovsupport@nsf.gov Email: grantsgovsupport@nsf.gov |
| Who Can Apply: | Organization Applicants |
| Assistance Listing Number | Competition ID | Competition Title | Opportunity Package ID | Opening Date | Closing Date | Actions |
|---|---|---|---|---|---|---|
| PKG00281792 | May 19, 2023 | Sep 30, 2025 | View |
Package 1
Mandatory forms
348258 RR_SF424_5_0-5.0.pdf
348258 NSF_CoverPage_2_3-2.3.pdf
348258 NSF_KeyPersonExpanded_3_3-3.3.pdf
348258 RR_Budget_3_0-3.0.pdf
348258 PerformanceSite_4_0-4.0.pdf
348258 RR_OtherProjectInfo_1_4-1.4.pdf
Optional forms
348258 NSF_DeviationAuthorization-1.1.pdf
348258 NSF_SuggestedReviewers-1.1.pdf
348258 RR_SubawardBudget_3_0-3.0.pdf
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