Energy, Power, Control, and Networks
NSF funds research on control, optimization, learning, and networked systems for energy, power, cyber-physical, transportation, robotics, and related applications.
⚑ No deadline listed · Eligibility not stated in notice · Contact program directors for area-of-interest routing within EPCN
Unit fits — one characterization, each unit's own rules
| Physical Sciences & Engineering (demo) | 90 strong | technical depth: central; funds basic research |
| IPPRA | 58 good | portfolio topic: energy (primary); social/behavioral work is minor; funds basic research |
| Tom Love Innovation Hub | 30 weak | prototyping/demonstration stage; deep-tech content |
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
Apply
View on Grants.gov → CONTACT: National Science Foundation <grantsgovsupport@nsf.gov>
Proposal brief SEE AN EXAMPLE →
A one-page internal memo: fit assessment, submission requirements, document scaffold, and next steps dated back from the deadline — tailored to your project idea if you add one.
Proposal shell · National Science Foundation conventions SEE AN NSF EXAMPLE →
Funder-faithful document skeletons — National Science Foundation's document set with section headings, page limits, reviewer guidance, and writing prompts; add a project idea to get [DRAFT] starter bullets. Download as .md for Word or Overleaf.