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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
Peer-to-Peer Energy Trading Using Prediction Intervals of Renewable Energy Generation
Journal article
Yanbo Jia, Can Wan, Wenkang Cui, Yonghua Song, Ping Ju. Peer-to-Peer Energy Trading Using Prediction Intervals of Renewable Energy Generation[J]. IEEE Transactions on Smart Grid, 2022, 14(2), 1454-1465.
Authors:
Yanbo Jia
;
Can Wan
;
Wenkang Cui
;
Yonghua Song
;
Ping Ju
Favorite
|
TC[WOS]:
19
TC[Scopus]:
23
IF:
8.6
/
9.6
|
Submit date:2022/05/17
Peer-to-peer Energy Transaction
Prediction Interval
Nash Bargaining
Chance Constraints
Distributed Optimization
Renewable Energy Generation
A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis
Journal article
Chen, Tao, Gao, Ciwei, Hui, Hongxun, Cui, Qiushi, Long, Huan. A generalized additive model-based data-driven solution for lithium-ion battery capacity prediction and local effects analysis[J]. Transactions of the Institute of Measurement and Control, 2021.
Authors:
Chen, Tao
;
Gao, Ciwei
;
Hui, Hongxun
;
Cui, Qiushi
;
Long, Huan
Favorite
|
TC[WOS]:
2
TC[Scopus]:
2
IF:
1.7
/
1.6
|
Submit date:2022/05/13
Battery Capacity Prediction
Data-driven Solution
Energy Storage System
Generalized Additive Model
Lithium-ion Battery
Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems
Journal article
Chen, Tao, Song, Meng, Hui, Hongxun, Long, Huan. Battery Electrode Mass Loading Prognostics and Analysis for Lithium-Ion Battery–Based Energy Storage Systems[J]. Frontiers in Energy Research, 2021, 9, 754317.
Authors:
Chen, Tao
;
Song, Meng
;
Hui, Hongxun
;
Long, Huan
Favorite
|
TC[WOS]:
8
TC[Scopus]:
8
IF:
2.6
/
3.0
|
Submit date:2021/12/08
Battery Electrode Property Prediction
Battery Parameter Analysis
Data-driven Model
Energy Storage System
Lithium-ion Battery
Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models
Journal article
Huang, Y.H., Su, Y., Garg, A.. Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models[J]. Journal of Electrochemical Energy Conversion and Storage, 2021, 030901-030901.
Authors:
Huang, Y.H.
;
Su, Y.
;
Garg, A.
Favorite
|
IF:
2.7
/
2.4
|
Submit date:2023/08/16
Artificial neural network prediction
Degradation patterns
Energy efficiencies
Lithium-ion batteries
Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models
Journal article
Huang, Yuhao, Su, Yan, Garg, Akhil. Measurement and Prediction of Decomposed Energy Efficiencies of Lithium Ion Batteries With Two Charge Models[J]. JOURNAL OF ELECTROCHEMICAL ENERGY CONVERSION AND STORAGE, 2021, 18(3), JEECS-20-1145.
Authors:
Huang, Yuhao
;
Su, Yan
;
Garg, Akhil
Favorite
|
TC[WOS]:
3
TC[Scopus]:
3
IF:
2.7
/
2.4
|
Submit date:2022/05/13
Artificial Neural Network Prediction
Batteries
Degradation Patterns
Electrochemical Storage
Energy Efficiencies
Lithium-ion Batteries
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 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
A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature
Journal article
Cao, J.W., Wang, T.L., Shang, L.M., Wang, J.Z., Vong, C. M., Yin, C., Huang, X.G.. A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature[J]. Mechanical Systems and Signal Processing (SCI-E), 2018, 222-236.
Authors:
Cao, J.W.
;
Wang, T.L.
;
Shang, L.M.
;
Wang, J.Z.
;
Vong, C. M.
; et al.
Favorite
|
IF:
7.9
/
8.0
|
Submit date:2022/08/09
Periodic vibration signal processing
Distance prediction system
Fundamental frequency estimation
Frequency band energy percentage
Cepstrum
A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature
Journal article
Cao, Jiuwen, Wang, Tianlei, Shang, Luming, Wang, Jianzhong, Vong, Chi-Man, Yin, Chun, Huang, Xuegang. A novel distance estimation algorithm for periodic surface vibrations based on frequency band energy percentage feature[J]. MECHANICAL SYSTEMS AND SIGNAL PROCESSING, 2018, 113, 222-236.
Authors:
Cao, Jiuwen
;
Wang, Tianlei
;
Shang, Luming
;
Wang, Jianzhong
;
Vong, Chi-Man
; et al.
Favorite
|
TC[WOS]:
10
TC[Scopus]:
10
IF:
7.9
/
8.0
|
Submit date:2018/10/30
Periodic Vibration Signal Processing
Distance Prediction System
Fundamental Frequency Estimation
Frequency Band Energy Percentage
Cepstrum