Energy, Power, Control, and Networks
The summary for the Energy, Power, Control, and Networks grant is detailed below.
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Energy, Power, Control, and Networks: 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 <a href="https://www.nsf.gov/staff/staff_list.jsp?orgId=5915&subDiv=y&org=ECCS&from_org=ECCS">EPCN staff directory</a> for areas of interest): Control Systems <ul> <li>Distributed Control and Optimization</li> <li>Networked Multi-Agent Systems</li> <li>Stochastic, Hybrid, Nonlinear Systems</li> <li>Dynamic Data-Enabled Learning, Decision and Control</li> <li>Cyber-Physical Control Systems</li> <li>Applications (Biomedical, Transportation, Robotics)</li> </ul> Energy and Power Systems <ul> <li>Solar, Wind, and Storage Devices Integration with the Grid</li> <li>Monitoring, Protection and Resilient Operation of Grid</li> <li>Power Grid Cybersecurity</li> <li>Market design, Consumer Behavior, Regulatory Policy</li> <li>Microgrids</li> <li>Energy Efficient Buildings and Communities</li> </ul> Power Electronics Systems <ul> <li>Advanced Power Electronics and Electric Machines</li> <li>Electric and Hybrid Electric Vehicles</li> <li>Energy Harvesting, Storage Devices and Systems</li> <li>Innovative Grid-tied Power Electronic Converters</li> </ul> Learning and Adaptive Systems <ul> <li>Neural Networks</li> <li>Neuromorphic Engineering Systems</li> <li>Data analytics and Intelligent Systems</li> <li>Machine Learning Algorithms, Analysis and Applications</li> </ul>
Federal Grant Title: | Energy, Power, Control, and Networks |
Federal Agency Name: | National Science Foundation (NSF) |
Grant Categories: | Science and Technology |
Type of Opportunity: | Discretionary |
Funding Opportunity Number: | PD-18-7607 |
Type of Funding: | Grant |
CFDA Numbers: | 47.041 |
CFDA Descriptions: | Information not provided |
Current Application Deadline: | November 1st, 2018 |
Original Application Deadline: | November 1st, 2018 |
Posted Date: | February 23rd, 2018 |
Creation Date: | February 23rd, 2018 |
Archive Date: | December 3rd, 2025 |
Total Program Funding: | |
Maximum Federal Grant Award: | |
Minimum Federal Grant Award: | |
Expected Number of Awards: | |
Cost Sharing or Matching: | No |
Last Updated: | February 23rd, 2018 |
- Applicants Eligible for this Grant
- Unrestricted (i.e., open to any type of entity below), subject to any clarification in text field entitled "Additional Information on Eligibility"
- Link to Full Grant Announcement
- NSF Program Desccription PD-18-7607
- Grant Announcement Contact
- NSF grants.gov support
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