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Winning the Energy & Buildings Best Paper Award (2024)

The paper entitled “Energy Consumption Prediction and Household Feature Analysis for Different Residential Building Types Using Machine Learning and SHAP: Toward Energy-Efficient Buildings” authored by Xue Cui, Minhyun Lee, Choongwan Koo, and Taehoon Hong, received the Energy & Buildings Best Paper Award for 2023 and 2024.