Closed · PD-10-1518 · CFDA 47.041 · Discretionary
Energy, Power, and Adaptive Systems
Federal grant opportunity posted by U.S. National Science Foundation, cataloged on Grants.gov.
- Varies
- Award range
- Closed
- Status
- -
- Close date
- -
- Expected awards
The verdict
Energy, Power, and Adaptive Systems is a closed discretionary listing from U.S. National Science Foundation that offered Varies by applicant. Future funding cycles may be published under the same CFDA number. PlainGrants indexes 1,338 other opportunities from U.S. National Science Foundation.
- Varies
- award range
- Closed
- application status
- 47.041
- CFDA program
- 1,338
- other opportunities from U.S. National Science Foundation
Archived opportunity record
Energy, Power, and Adaptive Systems is closed. The parent program page for CFDA 47.041 is the reliable place to catch re-announcements. U.S. National Science Foundation still indexes 1,338 other opportunities here.
According to Grants.gov (extract vintage 2026-08-10), this record reflects the officially published listing. See methodology.
Deadline tracker
Application window closed
This listing is no longer accepting applications
Instrument
Grant
Description
The Energy, Power, and Adaptive Systems (EPAS) program invests in the design and analysis of intelligent and adaptive engineering networks, including sensing, imaging, controls, and computational technologies for a variety of application domains. EPAS places emphasis on electric power networks and grids, including generation, transmission and integration of renewable, sustainable and distributed energy systems; high power electronics and drives; and understanding of associated regulatory and economic structures. Topics of interest include alternate energy sources, the Smart Grid, and interdependencies of critical infrastructure in power and communications. The program also places emphasis on energy scavenging and alternative energy technologies, including solar cells, ocean waves, wind, and low-head hydro. In addition, the program supports innovative test beds, and laboratory and curriculum development to integrate research and education. EPAS invests in adaptive dynamic programming, brain-like networked architectures performing real-time learning, neuromorphic engineering, telerobotics, and systems theory. The program supports distributed control of multi-agent systems with embedded computation for sensor and adaptive networks. EPAS provides additional emphasis on emerging areas, such as quantum systems engineering, quantum and molecular modeling and simulation of devices and systems. Proposals for the EPAS program may involve collaborative research to capture the breadth of expertise needed for such multidisciplinary integrative activities. ECCS will consider supporting a limited number of small team proposals of three or more Investigators from different disciplines and/or universities.Areas of interest include:Kishan BahetiControl Theory and Hybrid Dynamical Systems Distributed and Mobile Networked Control Systems Theory in Molecular, Cellular, Synthetic Biology and Medicine Estimation in Sensing and Imaging Systems Reliability and Control of Renewable Energy Networked System Sensor Network for Energy Efficient Buildings Transportation Networks (Aerospace, Vehicles) Human Robot Interaction Stochastic Modeling and Applications George MaracasEnergy Collection, Photovoltaic, and Thermal Devices Novel Energy Conversion Devices Renewable Energy Devices and Systems Power Conversion, Generators, Motors, and Network Interfacing Energy and Power Sensing Technologies Energy Storage Technologies High Voltage, High Power Switching and Conversion Devices Paul WerbosAdaptive and Intelligent Systems Transmission and Distribution Systems Intelligent Power Grid Quantum Systems and Modeling Neural Networks High Performance and Multiscale Modeling Cognitive Optimization and Prediction Intelligent Vehicles and Robots
Catch-all / unrestricted eligibility mark · PD-10-1518
Grants.gov marks Energy, Power, and Adaptive Systems with a catch-all / unrestricted eligibility code (Unrestricted / see official listing). Read the official announcement text for the real applicant filter — the code alone is not a door list. The extract does not mark applicant cost-sharing as required. Instrument: Grant. Funding-activity code maps to Science and Technology / R&D (ST). This eligibility-code string dominates the U.S. National Science Foundation book (614 peers, 46% of 1,339).
- Code 99
- Unrestricted / see official listing
Codes are Grants.gov eligibility category values from the extract vintage 2026-08-10. Confirm the full eligibility statement on the official listing or the Grants.gov eligibility reference.
Official Listing on Grants.gov
View full details, application forms, and submission instructions.
Parent Grant Program
Engineering Grants
National Science Foundation
Agency Contact
NSF grants.gov support grantsgovsupport@nsf.gov
More from U.S. National Science Foundation
U.S. National Science Foundation State and Regional Artificial Intelligence Infrastructure Hubs:
Unlocking Dataset Value for AI-Enabled Scientific Discovery (AI Datasets)
Engineering Research Initiation
NSF Small Business Innovation Research / Small Business Technology Transfer Phase I, Phase II, Fast-Track Programs: A Pilot Emphasis on Scientific Instrumentation
EDU Core Research
What to do next
Energy, Power, and Adaptive Systems is closed; use the parent program and agency catalog for the next funding cycle.
- Parent CFDA 47.041 may publish future NOFOs under the same assistance listing. Open program
- Engineering Grants indexes 319 Grants.gov listings in this extract. Program profile
- U.S. National Science Foundation lists 1,338 other indexed opportunities on PlainGrants. Agency catalog
Opportunity deadlines and eligibility change on Grants.gov; PlainGrants mirrors the extract and is not the submission system.
Disclaimer: This information is sourced from Grants.gov and SAM.gov and is for informational purposes only. Opportunity details, deadlines, and eligibility requirements change frequently. Always verify current information directly on Grants.gov before applying. PlainGrants is not affiliated with any federal agency.
Read our methodology - how this data is sourced, computed, and verified.
| Publisher | PlainGrants |
| Sources | the SAM.gov Assistance Listings and Grants.gov |