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Energy Consumption Probabilistic Prediction of HVAC Systems in Public Buildings Based on Deep Learning Fusion Model Conference paper
Jiang, Siyu, Hui, Hongxun. Energy Consumption Probabilistic Prediction of HVAC Systems in Public Buildings Based on Deep Learning Fusion Model[C]:Institute of Electrical and Electronics Engineers Inc., 2024, 71-76.
Authors:  Jiang, Siyu;  Hui, Hongxun
Favorite | TC[Scopus]:0 | Submit date：2024/12/26
Conformalized Quantile Regression  Ensemble Learning  Hvac Energy Consumption  Long Short-term Memory  Probabilistic Prediction  
Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB Journal article
He, Shu Yu, Kuok, Sin Chi, Tang, Cong, Zhou, Wan Huan. Efficient Bayesian model updating for settlement prediction of the immersed tunnel of HZMB[J]. Transportation Geotechnics, 2024, 44, 101179.
Authors:  He, Shu Yu;  Kuok, Sin Chi;  Tang, Cong;  Zhou, Wan Huan
Favorite | TC[WOS]:4 TC[Scopus]:10  IF:4.9/5.1 | Submit date：2024/02/22
Bayesian Probabilistic Approach  Criteria For Model Design  Immersed Tunnel  Settlement Prediction  Updated Physical Model  
Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision Journal article
Zhao, Changfei, Wan, Can, Song, Yonghua. Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision[J]. IEEE Transactions on Power Systems, 2022, 37(4), 3048-3062.
Authors:  Zhao, Changfei;  Wan, Can;  Song, Yonghua
Favorite | TC[WOS]:36 TC[Scopus]:41  IF:6.5/7.4 | Submit date：2022/05/13
Costs  Decision Making  Decision Making  Forecasting  Forecasting  Machine Learning  Prediction Interval  Probabilistic Logic  Renewable Energy  Renewable Energy Sources  Uncertainty  Uncertainty  Wind Power Generation  
Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
Zhao,Changfei, Wan,Can, Song,Yonghua. Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model[J]. IEEE Transactions on Power Systems, 2021, 36(4), 3701-3714.
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite | TC[WOS]:54 TC[Scopus]:71  IF:6.5/7.4 | Submit date：2021/03/09
Probabilistic Forecasting  Wind Power  Machine Learning  Operating Reserve  Prediction Interval  Mixed Integer Linear Programming  
Theories, Methodologies and Applications of Probabilistic Forecasting for Power Systems with Renewable Energy Sources 新能源电力系统概率预测理论与方法及其应用 Journal article
Wan,Can, Song,Yonghua. Theories, Methodologies and Applications of Probabilistic Forecasting for Power Systems with Renewable Energy Sources 新能源电力系统概率预测理论与方法及其应用[J]. Dianli Xitong Zidonghua/Automation of Electric Power Systems, 2021, 45(1), 2-16.
Authors:  Wan,Can;  Song,Yonghua
Favorite | TC[Scopus]:88 | Submit date：2021/03/09
Artificial Intelligence  Power System  Prediction Interval  Probabilistic Forecasting  Renewable Energy  Uncertainty