■ 主持及参与科研项目（仅列重要部分）： 2017.01-2019.12 National Science Foundation of China（No.51606085） ➢ The Study on Mechanism of Wind Power Forecasting to Very-short-term Wind Storage Combined Power Generation System Scheduling ➢ Research for wind power output forecasting, and establish generation scheduling model of wind storage combined system 2014.03-2017.03 Talent Training Program in Beijing（No. 2014000020124G095） ➢ Research for short-term wind power forecasting of integrated wind farm based on weighted combined algorithm ➢ Study for improving forecasting accuracy of wind power output 2007.12-2011.12 National High Technology Development Plan ➢ Research and development of short-term wind power forecasting system ➢ Design system structure and optimize forecasting model based on historical data analysis 2007.11-2010.06 Program of North China Electric Power Design and Research Institute ➢ System design and development of Post-evaluation ➢ Design system structure and hierarchical modeling 2009.03-2010.06 National Energy Administration Research Program ➢ Wind power development problems and countermeasures research ➢ According to the demand analysis, the framework analysis and design of the prediction system function, structure, participate in the technical agreement formulation ➢ Based on historical data, the algorithm design, parameters and prediction results of the short-term forecasting statistical model of wind farms complete the main functions of training, testing and prediction forecasting 2011.06-2011.12 The United States Center for the Commercialization of Electric Technologies (CCET)/IEEE ➢ Virtual photovoltaic power station and energy storage units are installed in west Texas at United States ➢ The economic feature of the installed stations are evaluated and analyzed based on the wind farm capacity and power output, along with Local Marginal Price (LMP) in electricity market ■ SCI学术论文（仅列重要部分）： (1) Hybrid Energy Storage System (HESS) optimization enabling very short-term wind power generation scheduling based on output feature extraction. Applied Energy. Dec. 2019. (2) Generation Scheduling Optimization of Wind-Energy Storage System Based on Wind Power Output Fluctuation Features. 2018. IEEE Transactions on Industry Applications, 54 (1): 10-17. (3) Hybrid Forecasting Model for Very-short Term Wind Power Forecasting Based on Grey Relational Analysis and Wind Speed Distribution Features. 2014. IEEE Transactions on Smart Grid, 5 (1): 521-526. (4) Forecasting Power Output of Photovoltaic System Based on Weather Classification and Support Vector Machine. 2012. IEEE Transactions on Industry Applications, 48(3): 1064-1069. (5) Short-term Wind Power Prediction Based on Wavelet Transform-Support Vector Machine and Statistic Characteristics Analysis. 2012. IEEE Transactions on Industry Applications, 48(4)： 1136 -1141. (6) Piecewise Support Vector Machine Model for Short Term Wind Power Prediction.2009. International Journal of Green Energy, 6 (5): 479-489. (7) Model optimization for very-short-term wind power forecasting using Hilbert-Huang Transform. 2016. International Conference on Smart Grid and Clean Energy Technologies. Chengdu, China. (8) Weighted Parallel Algorithm to Improve the Performance of Short-term Wind Power Forecasting. 2012 IEEE PES General Meeting, 22 - 26 July 2012, San Diego, CA, USA. (9) Multistage Model for Short Term Wind Power Forecasting, the ASME 2011 Power Conference Co-located with International Conference on Power Engineering-2011. July 12-14, 2011, Denver, Colorado, USA. (10)Uncertainty Analysis Of Short Term Wind Power Forecasting Based on Error Characteristics Statistics, ACTA ENERGIAE SOLARIS SINICA. 33(12): 2179-2184, 2012. (11) Genetic Algorithm-Piecewise Support Vector Machine Model for Short Term Wind Power Prediction. Proceeding of IEEE 8th World Congress on Intelligent Control and Automation. July 7-9，2010，Jinan，China. (12) Demand Response - An Assessment of Load Participation in the ERCOT Nodal Market. 2012 IEEE PES General Meeting, 22 - 26 July 2012, San Diego, CA, USA. |
