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

A new JLL report predicts that power will become the primary factor in selecting future data center sites, with renewables playing a major role. Photo courtesy JLL.

Renewable energy is evolving as the primary energy source for large data centers, according to a new report.

The 2026 Global Data Center Outlook from commercial real estate services giant JLL points out that the pivot toward big data centers being powered by renewable energy stems from rising electricity costs and tightening carbon reduction requirements. In the data center sector, renewable energy, such as solar and wind power, is expected to outcompete fossil fuels on cost, the report says.

The JLL forecast carries implications for the Houston area’s tech and renewable energy sectors.

As of December, Texas was home to 413 data centers, second only to Virginia at 665, according to Visual Capitalist. Dozens more data centers are in the pipeline, with many of the new facilities slated for the Houston, Austin, Dallas-Fort Worth and San Antonio areas.

Amid Texas’ data center boom, several Houston companies are making inroads in the renewable energy market for data centers. For example, Houston-based low-carbon energy supplier ENGIE North America agreed last May to supply up to 300 megawatts of wind power for a Cipher Mining data center in West Texas.

The JLL report says power, not location or cost, will become the primary factor in selecting sites for data centers due to multi-year waits for grid connections.

“Energy infrastructure has emerged as the critical bottleneck constraining expansion [of data centers],” the report says. “Grid limitations now threaten to curtail growth trajectories, making behind-the-meter generation and integrated battery storage solutions essential pathways for sustainable scaling.”

Behind-the-meter generation refers to onsite energy systems such as microgrids, solar panels and solar battery storage. The report predicts global solar capacity will expand by roughly 100 gigawatts between 2026 and 2030 to more than 10,000 gigawatts.

“Solar will account for nearly half of global renewable energy capacity in 2026, and despite its intermittent properties, solar will remain a key source of sustainable energy for the data center sector for years to come,” the report says.

Thanks to cost and sustainability benefits, solar-plus-storage will become a key element of energy strategies for data centers by 2030, according to the report.

“While some of this energy harvesting will be colocated with data center facilities, much of the energy infrastructure will be installed offsite,” the report says.

Other findings of the report include:

  • AI could represent half of data center workloads by 2030, up from a quarter in 2025.
  • The current five-year “supercycle” of data center infrastructure development may result in global investments of up to $3 trillion by 2030.
  • Nearly 100 gigawatts worth of new data centers will be added between 2026 and 2030, doubling global capacity.

“We’re witnessing the most significant transformation in data center infrastructure since the original cloud migration,” says Matt Landek, who leads JLL’s data center division. “The sheer scale of demand is extraordinary.”

Hyperscalers, which operate massive data centers, are allocating $1 trillion for data center spending between 2024 and 2026, Landek notes, “while supply constraints and four-year grid connection delays are creating a perfect storm that’s fundamentally reshaping how we approach development, energy sourcing, and market strategy.”

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