화학공학소재연구정보센터
검색결과 : 4건
No. Article
1 A novel methodology to explain and evaluate data-driven building energy performance models based on interpretable machine learning
Fan C, Xiao F, Yan CC, Liu CL, Li ZD, Wang JY
Applied Energy, 235, 1551, 2019
2 Analytical investigation of autoencoder-based methods for unsupervised anomaly detection in building energy data
Fan C, Xiao F, Zhao Y, Wang JY
Applied Energy, 211, 1123, 2018
3 Discovering gradual patterns in building operations for improving building energy efficiency
Fan C, Sun YJ, Shan K, Xiao F, Wang JY
Applied Energy, 224, 116, 2018
4 Unsupervised data analytics in mining big building operational data for energy efficiency enhancement: A review
Fan C, Xiao F, Li ZD, Wang JY
Energy and Buildings, 159, 296, 2018