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Energy, Power, Control, and Networks
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    • Opportunity Type Discretionary
    • CFDA

      47.041 -- Engineering

    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
    • IHE
    • Local Government
    • Non-Profit
    • Other
    • State Government
    • Tribal Government
    Key Date(s)
    • May 19, 2023: Posted Date
    • February 23, 2024: Last Updated Date
    Contact Information

    NSF grants.gov support

    grantsgovsupport@nsf.gov

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