Simpler Grants.gov #PD-18-7607

NSF Solicitation for Research in Energy, Power, Control, and Networks (EPCN)

The U.S. National Science Foundation (NSF) is inviting research proposals for its Energy, Power, Control, and Networks (EPCN) Program. - Government Buyer: - U.S. National Science Foundation (NSF) - Scope of Solicitation: - Supports innovative research in modeling, optimization, learning, adaptation, and control of networked multi-agent systems - Focus on higher-level decision making, dynamic resource allocation, and risk management under uncertainty - Emphasis on novel machine learning algorithms, adaptive dynamic programming, neuromorphic engineering, and brain-like networked architectures - Applications include energy, transportation, robotics, and biomedical devices and systems - Special focus on electric power systems, renewable energy integration, power electronics, battery management, hybrid/electric vehicles, and regulatory/economic interplay in power systems - Products/Services Requested: - No specific products, part numbers, or quantities specified - Solicitation is for research projects and proposals, not for commercial products - Unique/Notable Requirements: - Open to unrestricted eligibility - Funded through discretionary research grants - Seeks innovative, high-impact research in emerging technologies - OEMs and Vendors: - No specific OEMs or vendors mentioned

Description

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. It also focuses on risk management in the presence of uncertainty, sub-system failures, and stochastic disturbances. The program invests in novel machine learning algorithms, adaptive dynamic programming, brain-like networked architectures, and neuromorphic engineering. EPCN encourages research on emerging technologies and applications including energy, transportation, robotics, and biomedical devices & systems, with an emphasis on electric power systems and their integration with renewable energy sources.

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