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    Country
    Opportunity Status
    Funding Instrument Type
    Category
    Clear

    Energy, Power, Control, and Networks

    PD-18-7607

    National Science Foundation

    Opening date 19 May 2023, 12:00AM

    Closing date N/A

    Funding Opportunity Number: PD-18-7607

    Opportunity Category: Discretionary

    CFDA Number(s): 47.041 -- Engineering

    Cost Sharing or Matching Requirement: No

    Posted Date: May 19, 2023 12:00:00 AM EDT

    Closing Date: N/A

    Closing Date Details: Proposals accepted anytime

    Award Ceiling: none

    Award Floor: none

    Eligible Applicants: Unrestricted (i.e., open to any type of entity above), subject to any clarification in text field entitled "Additional Information on Eligibility"

    Agency Name: National Science Foundation

    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

    Grantor Contact Information: NSF grants.gov support grantsgovsupport@nsf.gov

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