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Find similar grantsEnergy, Power, Control, and Learning (EPCL) is sponsored by NSF CISE Directorate. Supports research on control and learning theories and methods to enhance the operation, performance, and reliability of complex engineered systems, including those for power and energy.
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Energy, Power, Control, and Learning (EPCL) | NSF - U.S. National Science Foundation Engineering : Electrical, Communications, and Computing Systems (ECCS) Energy, Power, Control, and Learning (EPCL) Important information for proposers and award recipients All proposals must be submitted in accordance with the requirements specified in the funding opportunity and in the Proposal & Award Policies & Procedures Guide (PAPPG) and its supplements .
All NSF grants and cooperative agreements are subject to the applicable set of NSF award terms and conditions . NSF has updated its research security policies for NSF funded projects. Supports research on control and learning theories and methods, as well as the design and analysis of complex engineered systems, to enhance the operation, performance and reliability of systems for power, energy and other national needs.
Supports research on control and learning theories and methods, as well as the design and analysis of complex engineered systems, to enhance the operation, performance and reliability of systems for power, energy and other national needs. The Energy, Power, Control, and Learning (EPCL) program invests in fundamental research to advance the capabilities, performance, security and resilience of engineered systems.
These advances can benefit the U.S. power grid, transportation, manufacturing, healthcare and other critical infrastructure systems that enable economic growth and prosperity. EPCL supports research on systems and control, learning, optimization, and networked multi-agent systems.
The program addresses a wide variety of systems and decision-making issues; examples include higher-level decision making, dynamic resource allocation, risk management in the presence of uncertainty, sub-system failures, and game theory for system control and learning, as well as stochastic and hybrid systems.
EPCL research may also involve advances in artificial intelligence (AI); examples include novel machine learning algorithms, new AI-assisted tools, adaptive programming, and brain-like networked architectures for real-time learning. The program encourages collaboration among different fields to advance knowledge that will lead to new methods and technologies.
While projects focus on fundamental advances in knowledge, they should ideally provide a clear vision of how research can influence real-world applications. These may include energy, transportation, robotics, biomedical devices and systems, or other uses. EPCL is committed to supporting advances in the theory and technology of electric power systems.
Such research can address issues related to generation, transmission, storage, inverter-based energy sources; power electronics and drives; battery management systems; energy harvesting; hybrid and electric vehicles; and the interplay of power system operation with regulatory and economic structures and consumer behavior.
The program also supports research that addresses emerging challenges stemming from societal trends in energy production and consumption, such as changes in energy sources for the power grid or growth in data centers. Partnerships: To speed discovery and innovation, NSF partners with federal agencies, industry, international groups, and others. Current opportunities are at NSF ENG Partnerships .
This program advances NSF’s mission as given in the NSF organic statute (42 U.S.C. 1861, et seq.) Awards made through this program Browse projects funded by this program Map of recent awards made through this program Directorate for Engineering (ENG) Division of Electrical, Communications and Cyber Systems (ENG/ECCS)
According to the current listing, eligibility includes: Universities, including Lawrence Technological University. Confirm the full requirements in the official notice before applying.
Energy, Power, Control, and Learning (EPCL) is funded by NSF CISE Directorate. Verify program details on the funder's official page before applying.
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