[1] 通讯作者. Short-term probabilistic load forecasting using quantile regression neural network with accumulated hidden layer connection structure [J]. IEEE Transactions on Industrial Informatics, 2023.（SCI一区TOP，影响因子12.3） [2] 第一且通讯作者. A parallel short-term power load forecasting method considering high-level elastic loads [J]. IEEE Transactions on Instrumentation and Measurement, 2023, 72:1-10.（SCI二区TOP，影响因子5.6） [3] 通讯作者. A distributed short-term load forecasting method in consideration of holiday distinction [J]. Sustainable Energy, Grids and Networks, 2024: 101296.（SCI二区，影响因子5.4） [4] 第一且通讯作者. An intraperiod arbitrary ram-rate changing model in unit commitment [J]. Energy, 2023, 284: 128593.（SCI一区TOP，影响因子9.0） [5] 第一作者. Day-ahead wind-thermal unit commitment considering historical virtual wind power data [J]. Energy, 2021, 235: 121324.（SCI一区TOP，影响因子9.0） [6] 通讯作者. A more accurate piecewise linear approximation method for quadratic cost curves of thermal generators and its application in unit commitment [J]. Electrical Engineering, 2024: 1-12.（SCI四区，影响因子1.8） [7] 通讯作者. Selection of desirable transmission power mode for the bundled wind-thermal generation systems[J]. Journal of Cleaner Production, 2019, 216: 585-596.（SCI一区TOP，影响因子11.1） [8] 通讯作者. Optimal day-ahead wind-thermal unit commitment considering statistical and predicted features of wind speeds [J]. Energy Conversion and Management, 2017, 142: 347-356.（SCI一区TOP，影响因子10.4） [9] 第一作者. Accuracy study of linearization methods for quadratic cost curves of thermal units in unit commitment problems [J]. IET Generation, Transmission & Distribution, 2022, 1-10.（SCI四区，影响因子2.5） [10] 导师一作，本人二作. Optimal capacity and type planning of generating units in a bundled wind-thermal generation system [J]. Applied Energy, 2016, 164: 200-210.（SCI一区TOP，影响因子11.2） [11] 导师一作，本人二作. Optimal planning of HVDC-based bundled wind-thermal generation and transmission system [J]. Energy Conversion and Management, 2016, 115: 71-79.（SCI一区TOP，影响因子10.4） [12] 第一作者. Optimal planning of bundled wind-thermal generation systems: A case study of China [J]. Journal of Renewable and Sustainable Energy, 2016, 8(1): 13308.（SCI四区，影响因子2.5） [13] 第一作者. 计及风速和负荷特性的风火打捆发电系统规划[J]. 电力系统自动化, 2016, 40(15): 59-66.（EI） [14] 第一作者. Reliability evaluation of multi-terminals VSC-HVDC system[J]. Journal of Electrical Systems, 2015,11(3):342-352.（EI） |
