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Operating Reserve Quantification Using Prediction Intervals of Wind Power: An Integrated Probabilistic Forecasting and Decision Model Journal article
IEEE Transactions on Power Systems, 2021,Volume: 36,Issue: 4,Page: 3701-3714
Authors:  Zhao,Changfei;  Wan,Can;  Song,Yonghua
Favorite |  | TC[WOS]:4 TC[Scopus]:5 | Submit date:2021/03/09
Forecasting  Machine Learning  Mixed Integer Linear Programming  Operating Reserve  Prediction Interval  Probabilistic Forecasting  Probabilistic Logic  Stochastic Processes  Uncertainty  Upper Bound  Wind Forecasting  Wind Power  Wind Power Generation  
Demand response for industrial micro-grid considering photovoltaic power uncertainty and battery operational cost Journal article
IEEE Transactions on Smart Grid, 2021,Volume: 12,Issue: 4
Authors:  Huang,Chao;  Zhang,Hongcai;  Song,Yonghua;  Wang,Long;  Ahmad,Tanveer;  Luo,Xiong
Favorite |  | TC[WOS]:8 TC[Scopus]:13 | Submit date:2021/03/09
Demand Response  Forecasting  Industrial Micro-grid  Manufacturing  Mixed Integer Nonlinear Programming.  Multi-energy  Optimization  Optimization Methods  Probabilistic Logic  Production  Uncertainty  
Nonparametric Probabilistic Optimal Power Flow Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Li, Yunyi;  Wan, Can;  Chen, Dawei;  Song, Yonghua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | Submit date:2022/05/13
Costs  critical region integral  Generators  Load flow  Probabilistic logic  Probabilistic optimal power flow  Probability distribution  quantile  Random variables  uncertainty  wind power  Wind power generation  
Cost-Oriented Prediction Intervals: On Bridging the Gap Between Forecasting and Decision Journal article
IEEE Transactions on Power Systems, 2021
Authors:  Zhao, Changfei;  Wan, Can;  Song, Yonghua
Favorite |  | TC[WOS]:0 TC[Scopus]:0 | 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  
Simultaneous-fault detection based on qualitative symptom descriptions for automotive engine diagnosis Journal article
Applied Soft Computing Journal, 2014,Volume: 22,Page: 238-248
Authors:  Vong C.M.;  Wong P.K.;  Wong K.I.
Favorite |  | TC[WOS]:26 TC[Scopus]:26 | Submit date:2019/02/13
Automotive Engine Diagnosis  Decision Threshold Optimization  Fuzzy Logic  Probabilistic Classification  Simultaneous-fault Diagnosis  
Fault diagnosis of automotive engines using fuzzy relevance vector machine Conference paper
Communications in Computer and Information Science, Singapore, MALAYSIA, MAY, 2011
Authors:  Wong P.-K.;  Vong C.-M.;  Zhang Z.;  Xu Q.
Favorite |  | TC[WOS]:0 TC[Scopus]:2 | Submit date:2018/12/23
Engine Fault Diagnosis  Fuzzy Probabilistic Neural Network  Fuzzy Probabilistic Support Vector Machine  Fuzzy Relevance Vector Machine