Energy, Power, Control, and Learning (EPCL)
The U.S. National Science Foundation's EPCL program funds fundamental research to improve engineered systems in energy, power, control, and learning, focusing on performance, security, and resilience.
Funder: U.S. National Science Foundation
Due Dates (Anticipated): September 2026: FFDR reporting portal opens (projected) | October 2026: FFDR submission deadline (projected)
Funding Amounts: Varies by project; typical NSF engineering awards range from $300,000–$500,000 over 3–4 years.
Summary: Supports fundamental research to advance the performance, security, and resilience of engineered systems in energy, power, and control domains.
Description
The U.S. National Science Foundation's Energy, Power, Control, and Learning (EPCL) program funds foundational research aimed at enhancing the capabilities, performance, security, and resilience of engineered systems. The program emphasizes the development and integration of control and learning theories, optimization, and networked multi-agent systems, targeting improvements in complex systems such as the power grid, transportation, manufacturing, and healthcare infrastructure. EPCL encourages interdisciplinary collaboration and supports both theoretical advances and their translation to real-world applications, including dynamic resource allocation, risk management under uncertainty, game theory, artificial intelligence, and advanced electric power systems. The program also addresses emerging challenges related to changes in energy production and consumption, supporting innovation in areas like battery management, power electronics, and energy harvesting.
