grant funding

Houston researcher wins competitive NSF award for work tying machine learning to the power grid

The UH team is developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources. Photo via Getty Images

An associate professor at the University of Houston received the highly competitive National Science Foundation CAREER Award earlier this month for a proposal focused on integrating renewable resources to improve power grids.

The award grants more than $500,000 to Xingpeng Li, assistant professor of electrical and computer engineering and leader of the Renewable Power Grid Lab at UH, to continue his work on developing ways to use machine learning to ensure that power systems can continue to run efficiently when pulling their energy from wind and solar sources, according to a statement from UH. This work has applications in the events of large disturbances to the grid.

Li explains that currently, power grids run off of converted, stored kinetic energy during grid disturbances.

"For example, when the grid experiences sudden large generation losses or increased electrical loads, the stored kinetic energy immediately converted to electrical energy and addressed the temporary shortfall in generation,” Li said in a statement. “However, as the proportion of wind and solar power increases in the grid, we want to maximize their use since their marginal costs are zero and they provide clean energy. Since we reduce the use of those traditional generators, we also reduce the power system inertia (or stored kinetic energy) substantially.”

Li plans to use machine learning to create more streamlined models that can be implemented into day-ahead scheduling applications that grid operators currently use.

“With the proposed new modeling and computational approaches, we can better manage grids and ensure it can supply continuous quality power to all the consumers," he said.

In addition to supporting Li's research and model creations, the funds will also go toward Li and his team's creation of a free, open-source tool for students from kindergarten up through their graduate studies. They are also developing an “Applied Machine Learning in Power Systems” course. Li says the course will help meet workforce needs.

The CAREER Award recognizes early-career faculty members who “have the potential to serve as academic role models in research and education and to lead advances in the mission of their department or organization,” according to the NSF. It's given to about 500 researchers each year.

Earlier this year, Rice assistant professor Amanda Marciel was also granted an NSF CAREER Award to continue her research in designing branch elastomers that return to their original shape after being stretched. The research has applications in stretchable electronics and biomimetic tissues.

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A View From HETI

UH Energy's new Managing Non-Technical Risks in Energy program will launch Sept. 15. Photo courtesy University of Houston

UH Energy at the University of Houston will launch a new micro-credential program this fall focused on risks associated with today's changing energy landscape.

The new self-paced, hybrid program, known as Managing Non-Technical Risks in Energy, is geared towards energy professionals and those who aspire to work in the industry. Enrollment must be completed by Sept. 15 to participate.

According to UH, it will equip participants with "tools, strategies, and real-world insights needed to lead confidently" as they face pressure to meet increased energy demand while also operating under sustainable guidelines.

The program will be led by expert instructors, including:


  • Suryanarayanan Radhakrishnan, Managing Director of UH Energy
  • Amy Mifflin, Principal Consultant and Partner at Sustrio Inc.
  • Chris Angelides, Honorary Consul of The Republic of Cyprus to Texas, Managing Director at Ernst & Young LLP
  • Carolina Ortega, Vice President, Sustainability and Communications at Milestone Environmental Services
  • Krish (Ravi) Ravishankar, Senior Director ESG Analytics & Reporting, Sustainability, Worldwide Environmental Affairs at Oxy

Participants can earn up to three "badges" through the program. Each badge consists of two modules, which can be completed virtually and take about 10 hours to complete over four weeks.

Each module will also include one in-person engagement session that will last about two hours.

The three badges include:


  • Badge 1: Managing Environmental and Social Risks and Impacts
  • Badge 2: Frameworks, Standards, and Implementation
  • Badge 3: Advanced Applications

Badges can be earned individually or as a series of three, and participants must complete assessments to earn each badge.

Badge 1 Module 1 will start on Sept. 15, followed by Badge 1 Module 2 on Oct. 20. Find more information here.

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