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Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties Journal article
Sun, Xiaocong, Bao, Minglei, Ding, Yi, Hui, Hengyu, Song, Yonghua, Zheng, Chenghang, Gao, Xiang. Modeling and evaluation of probabilistic carbon emission flow for power systems considering load and renewable energy uncertainties[J]. Energy, 2024, 296, 130768.
Authors:  Sun, Xiaocong;  Bao, Minglei;  Ding, Yi;  Hui, Hengyu;  Song, Yonghua; et al.
Favorite | TC[WOS]:3 TC[Scopus]:3  IF:9.0/8.2 | Submit date：2024/05/16
Carbon Emissions  Integrated Carbon Intensity  Low-carbon Power Systems  Probabilistic Carbon Emission Evaluation  Renewable Energy  Uncertainty Model  
Probabilistic Forecasting-Based Reserve Determination Considering Multi-Temporal Uncertainty of Renewable Energy Generation Journal article
Xu, Yuqi, Wan, Can, Liu, Hui, Zhao, Changfei, Song, Yonghua. Probabilistic Forecasting-Based Reserve Determination Considering Multi-Temporal Uncertainty of Renewable Energy Generation[J]. IEEE Transactions on Power Systems, 2024, 39(1), 1019-1031.
Authors:  Xu, Yuqi;  Wan, Can;  Liu, Hui;  Zhao, Changfei;  Song, Yonghua
Favorite | TC[WOS]:6 TC[Scopus]:6  IF:6.5/7.4 | Submit date：2024/02/22
Itã'-process Model  Multi-temporal Uncertainty  Probabilistic Forecasting  Ramp Capability Reserve  Regulating Reserve  Reserve Determination  
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]:3 TC[Scopus]:9  IF:4.9/5.1 | Submit date：2024/02/22
Bayesian Probabilistic Approach  Criteria For Model Design  Immersed Tunnel  Settlement Prediction  Updated Physical Model  
Nessy: A Neuro-Symbolic System for Label Noise Reduction Journal article
Smirnova, Alisa, Yang, Jie, Yang, Dingqi, Cudre-Mauroux, Philippe. Nessy: A Neuro-Symbolic System for Label Noise Reduction[J]. IEEE Transactions on Knowledge and Data Engineering, 2023, 35(8), 8300 - 8311.
Authors:  Smirnova, Alisa;  Yang, Jie;  Yang, Dingqi;  Cudre-Mauroux, Philippe
Favorite | TC[WOS]:1 TC[Scopus]:1  IF:8.9/8.8 | Submit date：2022/08/30
Noise Reduction  Neuro-symbolic Systems  Deep Probabilistic Model  Relation Extraction  Distant Supervision  
Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation Journal article
Mo, Jiang, Yan, Wang Ji, Yuen, Ka Veng, Beer, Michael. Efficient inner-outer decoupling scheme for non-probabilistic model updating with high dimensional model representation and Chebyshev approximation[J]. Mechanical Systems and Signal Processing, 2023, 188, 110040.
Authors:  Mo, Jiang;  Yan, Wang Ji;  Yuen, Ka Veng;  Beer, Michael
Favorite | TC[WOS]:5 TC[Scopus]:7  IF:7.9/8.0 | Submit date：2023/02/28
Finite Element Model Updating  Hdmr  Interval Arithmetic  Non-probabilistic Uncertainty  Polynomial Approximation  
Probabilistic energy flow analysis of the integrated electricity and gas system considering multiform uncertainties Journal article
Hou,Yanqiu, Bao,Minglei, Ding,Yi, Sang,Maosheng, Liang,Ziyang, Song,Yonghua. Probabilistic energy flow analysis of the integrated electricity and gas system considering multiform uncertainties[J]. Fundamental Research, 2023.
Authors:  Hou,Yanqiu;  Bao,Minglei;  Ding,Yi;  Sang,Maosheng;  Liang,Ziyang; et al.
Favorite | TC[Scopus]:1  IF:5.7/5.7 | Submit date：2023/08/03
Integrated Electricity And Gas System  Lz-transform  Multiform Uncertainties  Probabilistic Energy Flow  Probabilistic Model  
An Analytical Method of Nonparametric Probabilistic Optimal Power Flow for Renewable Distribution Systems 新能源配电系统非参数概率最优潮流解析方法 Journal article
Li, Yunyi, Wan, Can, Li, Biao, Song, Yonghua, Chen, Dawei. An Analytical Method of Nonparametric Probabilistic Optimal Power Flow for Renewable Distribution Systems 新能源配电系统非参数概率最优潮流解析方法[J]. Zhongguo Dianji Gongcheng Xuebao/Proceedings of the Chinese Society of Electrical Engineering, 2022, 43(11), 4218-4227.
Authors:  Li, Yunyi;  Wan, Can;  Li, Biao;  Song, Yonghua;  Chen, Dawei
Favorite | TC[Scopus]:4 | Submit date：2023/07/20
Distribution System  Karush-kuhn-tucker (Kkt) Conditions  Multivariate Gaussian Mixture Model  Probabilistic Optimal Power Flow  Renewable Energy  Uncertainty  
Structural Assessment under Uncertain Parameters via the Interval Optimization Method Using the Slime Mold Algorithm Journal article
Ghiasi, Ramin, Noori, Mohammad, Silik, Ahmed, Wang, Tianyu, Pozo, Francesc, Altabey, Wael A.. Structural Assessment under Uncertain Parameters via the Interval Optimization Method Using the Slime Mold Algorithm[J]. Applied Sciences (Switzerland), 2022, 12(4), 1876.
Authors:  Ghiasi, Ramin;  Noori, Mohammad;  Silik, Ahmed;  Wang, Tianyu;  Pozo, Francesc; et al.
Favorite | TC[WOS]:10 TC[Scopus]:22  IF:2.5/2.7 | Submit date：2022/03/04
Model Updating Method  Non‐probabilistic Structural Damage Identification  Slime Mold Algorithm  Uncertainty Quantification  
Hybrid Probabilistic Forecasting of Photovoltaic Power Generation Considering Weather Conditions Conference paper
Wenkang Cui, Can Wan, Yonghua Song. Hybrid Probabilistic Forecasting of Photovoltaic Power Generation Considering Weather Conditions[C]:IEEE, 2022.
Authors:  Wenkang Cui;  Can Wan;  Yonghua Song
Favorite | TC[Scopus]:1 | Submit date：2023/01/30
Probabilistic Forecasting  Photovoltaic Power  Hidden Markov Model  Quantile Regression  Weather Condition  
A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting Journal article
Lin, You, Yang, Ming, Wan, Can, Wang, Jianhui, Song, Yonghua. A Multi-Model Combination Approach for Probabilistic Wind Power Forecasting[J]. IEEE TRANSACTIONS ON SUSTAINABLE ENERGY, 2019, 10(1), 226-237.
Authors:  Lin, You;  Yang, Ming;  Wan, Can;  Wang, Jianhui;  Song, Yonghua
Favorite | TC[WOS]:114 TC[Scopus]:135  IF:8.6/8.6 | Submit date：2019/01/17
Terms-multi-model Combination  Probabilistic Forecasting  Wind Power  Uncertainty