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Adversarial false data injection attacks on deep learning-based short-term wind speed forecasting Journal article
Yang, Lei, Liang, Gaoshen, Yang, Yanrong, Ruan, Jiaqi, Yu, Peipei, Yang, Chao. Adversarial false data injection attacks on deep learning-based short-term wind speed forecasting[J]. IET Renewable Power Generation, 2024, 18(7), 1370-1379.
Authors:  Yang, Lei;  Liang, Gaoshen;  Yang, Yanrong;  Ruan, Jiaqi;  Yu, Peipei; et al.
Favorite | TC[WOS]:2 TC[Scopus]:3  IF:2.6/2.8 | Submit date：2024/02/22
Adversarial False Data Injection Attack  Cyber Threat  Deep Learning  Renewable Energy  Resilience  Wind Speed Forecasting  
Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology Journal article
Li, Yunyi, Wan, Can, Cao, Zhaojing, Song, Yonghua. Data-Driven Nonparametric Probabilistic Optimal Power Flow: An Integrated Probabilistic Forecasting and Analysis Methodology[J]. IEEE Transactions on Power Systems, 2023, 38(6), 5820-5833.
Authors:  Li, Yunyi;  Wan, Can;  Cao, Zhaojing;  Song, Yonghua
Favorite | TC[WOS]:0 TC[Scopus]:1  IF:6.5/7.4 | Submit date：2023/12/04
Data-driven  Probabilistic Forecasting  Probabilistic Optimal Power Flow  Renewable Energy  Similarity Measurement  Uncertainty  
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]:32 TC[Scopus]:37  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  
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]:83 | Submit date：2021/03/09
Artificial Intelligence  Power System  Prediction Interval  Probabilistic Forecasting  Renewable Energy  Uncertainty  
A review on renewable energy and electricity requirement forecasting models for smart grid and buildings Journal article
Ahmad, Tanveer, Zhang, Hongcai, Yan, Biao. A review on renewable energy and electricity requirement forecasting models for smart grid and buildings[J]. Sustainable Cities and Society, 2020, 55, 102052.
Authors:  Ahmad, Tanveer;  Zhang, Hongcai;  Yan, Biao
Favorite | TC[WOS]:260 TC[Scopus]:319  IF:10.5/10.0 | Submit date：2021/09/09
Renewable Energy Sources  Forecasting Models  Energy Planning  Machine Learning Models  Ensemble Models  Artificial Neural Networks  
A review on machine learning forecasting growth trends and their real-time applications in different energy systems Review article
2020
Authors:  Ahmad, Tanveer;  Chen, Huanxin
Favorite | TC[WOS]:95 TC[Scopus]:122  IF:10.5/10.0 | Submit date：2021/12/06
Forecasting  Load Demand Prediction  Machine Learning  Real-time Applications  Renewable Energy Forecasting  Supervised Models