EurekAlert!
Summary
University of Missouri researchers are using a type of artificial intelligence to revolutionize how large campuses — including Mizzou’s own — manage energy use. Their goal is to help institutions across the nation optimize efficiency and reduce operational costs while cutting carbon emissions.
In a recently published study, Sanjeev Khanna and Saad Alsamraee, researchers in the College of Engineering, analyzed six years of data collected from Mizzou’s Combined Cooling Heat and Power Plant between 2017 and 2022. The data included campuswide energy usage and environmental variables such as air temperature, humidity, wind speed/direction and solar radiation — all tracked hourly.
Using machine learning, the research team successfully forecasted the campus’s energy demands for 2023 with a remarkable accuracy of 94%.
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