Closed · PD-18-7607 · CFDA 47.041 · Discretionary

Energy, Power, Control, and Networks

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, Control, and Networks 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.

Varies
award range
Closed
application status
47.041
CFDA program

Opportunity snapshot. This Grants.gov announcement - Energy, Power, Control, and Networks - is cataloged under number PD-18-7607 and tied to CFDA assistance listing 47.041, posted by U.S. National Science Foundation. Grants.gov currently shows the opportunity as closed, first posted on May 19, 2023 and last updated on February 23, 2024. The funding category is Discretionary, delivered as a grant.

Award economics. The award range on file is Varies by applicant. Cost sharing is not required, so applicants do not need to commit matching funds to be competitive on this opportunity. Federal award ranges are often upper bounds; actual allocations reflect program appropriations, the strength of the applicant pool, and the evaluation committee's scoring.

Deadline and action path. This opportunity is closed. Monitoring the parent program page is the most reliable way to catch re-announcements in the next funding cycle. Every Grants.gov submission requires an active SAM.gov registration and a Unique Entity ID. Review the Eligibility section below carefully, federal eligibility categories (nonprofit, state or local government, tribal, individual, educational institution, small business) have distinct registration and reporting requirements. Pre-application outreach to the listed agency contact is permitted and often welcomed, it helps clarify scope and scoring priorities. Before acting on the deadline or award figures above, verify them directly on the official Grants.gov listing, amendments can change dates and amounts after this page was last refreshed.

Award Range

Varies by applicant

Close Date

Not specified

Proposals accepted anytime

Posted

May 19, 2023

Instrument

Grant

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 Distributed Control and Optimization Networked Multi-Agent Systems Stochastic, Hybrid, Nonlinear Systems Dynamic Data-Enabled Learning, Decision and Control Cyber-Physical Control Systems Applications (Biomedical, Transportation, Robotics) Energy and Power Systems Solar, Wind, and Storage Devices Integration with the Grid Monitoring, Protection and Resilient Operation of Grid Power Grid Cybersecurity Market design, Consumer Behavior, Regulatory Policy Microgrids Energy Efficient Buildings and Communities Power Electronics Systems Advanced Power Electronics and Electric Machines Electric and Hybrid Electric Vehicles Energy Harvesting, Storage Devices and Systems Innovative Grid-tied Power Electronic Converters Learning and Adaptive Systems Neural Networks Neuromorphic Engineering Systems Data analytics and Intelligent Systems Machine Learning Algorithms, Analysis and Applications

Eligibility

Grants.gov lists this opportunity under eligibility category code 99. These codes correspond to applicant types (state/local government, tribal organization, nonprofit, educational institution, individual, small business, etc.) defined in Grants.gov's own eligibility reference. See the current Grants.gov eligibility categories or check the official listing below for this opportunity's exact eligibility statement.

Official Listing on Grants.gov

View full details, application forms, and submission instructions.

View on Grants.gov

Agency Contact

NSF grants.gov support grantsgovsupport@nsf.gov

Key Dates

Posted May 19, 2023
Close Date Not specified
Last Updated February 23, 2024

Frequently Asked Questions

What is this grant opportunity?
This is a federal funding opportunity titled "Energy, Power, Control, and Networks", offered by U.S. National Science Foundation. It is associated with CFDA program 47.041. 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...
Is this opportunity still open?
No, this opportunity is closed. Check the parent program page for future funding cycles.
How much funding is available?
The award range for this opportunity is Varies by applicant.
How do I apply?
Applications for federal grant opportunities are typically submitted through Grants.gov. Visit the official listing at grants.gov for application instructions, required documents, and submission deadlines.

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.

Data sourced from the SAM.gov Assistance Listings and Grants.gov. See our methodology for details. Retrieved and formatted by PlainGrants