<?xml version="1.0" encoding="UTF-8"?><item href="/news-events/stories/2024/march/03122024-li-improving-grid-stability.php" dsn="news"><featured/><top-stories/><homepage/><pubDate>03/12/2024 12:00:00 AM</pubDate><title>Integrating Renewables and Machine Learning for Improved Grid Stability</title><subtitle>UH Professor Using CAREER Award to Ensure Continuous Quality Electricity for All</subtitle><description>Xingpeng Li, assistant professor of electrical and computer engineering at the University of Houston, is using his National Science Foundation CAREER Award to work on a solution to allow the seamless integration of renewable energy sources with the rest of the power grid without causing any problems.</description><author>Rashda Khan</author><author-email>rkhan20@uh.edu</author-email><author-phone>713-743-7587</author-phone><image><img src="/news-events/stories/2024/march/_images/elecgridspiff.jpg" alt="elecgridspiff.jpg"/></image><categories>Science[COMMA] Energy &amp; Innovation</categories></item>