Energy, Power, Control, and Networks (EPCN)

Important Information for Proposers

A revised version of the NSF Proposal & Award Policies & Procedures Guide (PAPPG) (NSF 22-1), is effective for proposals submitted, or due, on or after October 4, 2021. Please be advised that, depending on the specified due date, the guidelines contained in NSF 22-1 may apply to proposals submitted in response to this funding opportunity.

Supports research in modeling, optimization, learning, adaptation and control of networked multi-agent systems; higher-level decision making; and dynamic resource allocation and risk management.

Synopsis

The Energy, Power, Control, and Networks (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

Program contacts

Eyad Abed
eabed@nsf.gov (703)292-8339 ENG/ECCS
Aranya Chakrabortty
achakrab@nsf.gov (703) 292-8113 ENG/ECCS
Mahesh Krishnamurthy
mkrishna@nsf.gov (703)292-8339 ENG/ECCS

Awards made through this program

Browse projects funded by this program
Map of recent awards made through this program