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Forecasting annual natural gas consumption via the application of a novel hybrid model 期刊论文
ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH, 2021, 卷号: 28, 期号: 17, 页码: 21411
Authors:  Gao, Feng;  Shao, Xueyan
Adobe PDF(996Kb)  |  Favorite  |  View/Download：184/0  |  Submit date：2022/02/10
Forecasting residential electricity consumption using a hybrid machine learning model with online search data 期刊论文
Applied Energy, 2021, 期号: 300, 页码: 1-13
Authors:  Gao Feng;  Chi Hong;  Shao Xueyan
Favorite  |  View/Download：215/0  |  Submit date：2022/03/01
Residential electricity consumption forecasting  Online search data  Extreme learning machine  Jaya  
A novel random forest approach for imbalance problem in crime linkage 期刊论文
KNOWLEDGE-BASED SYSTEMS, 2020, 卷号: 195
Authors:  Li, Yu-Sheng;  Chi, Hong;  Shao, Xue-Yan;  Qi, Ming-Liang;  Xu, Bao-Guang
Adobe PDF(1474Kb)  |  Favorite  |  View/Download：229/0  |  Submit date：2021/01/16