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Published in 2025 at "Applied Sciences"
DOI: 10.3390/app15179419
Abstract: This study proposes a comprehensive artificial intelligence (AI)-based framework to predict, disaggregate, and optimize energy consumption and associated CO2 emissions across a multi-building university campus. Leveraging real-world data from 27 buildings at the University of…
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Keywords:
energy;
university;
efficiency emission;
predictive approach ... See more keywords