| Hybrid probabilistic wind power forecasting using temporally local Gaussian process J Yan, K Li, EW Bai, J Deng, AM Foley IEEE Transactions on sustainable energy 7 (1), 87-95, 2015 | 162 | 2015 |
| Time series wind power forecasting based on variant Gaussian Process and TLBO J Yan, K Li, E Bai, Z Yang, A Foley Neurocomputing 189, 135-144, 2016 | 87 | 2016 |
| Analytical iterative multistep interval forecasts of wind generation based on TLGP J Yan, K Li, E Bai, X Zhao, Y Xue, AM Foley IEEE Transactions on Sustainable Energy 10 (2), 625-636, 2018 | 24 | 2018 |
| Prediction error adjusted gaussian process for short-term wind power forecasting J Yan, K Li, EW Bai 2013 IEEE International Workshop on Inteligent Energy Systems (IWIES), 173-178, 2013 | 13 | 2013 |
| Special condition wind power forecasting based on Gaussian Process and similar historical data J Yan, K Li, E Bai, A Foley 2015 IEEE Power & Energy Society General Meeting, 1-5, 2015 | 7 | 2015 |
| NARX models for predicting power consumption of a horizontal axis wind turbine L Zhang, L Ma, K Li, S Gan, J Yan, X Xu, M Zhu, W Li 2016 UKACC 11th International Conference on Control (CONTROL), 1-5, 2016 | 6 | 2016 |
| An optimal space–domain algorithm for economic dispatch control considering load uncertainty H Wang, Z Lu, J Yan, X Zhao, H Feng Transactions of the Institute of Measurement and Control 40 (5), 1615-1624, 2018 | 5 | 2018 |
| A variant Gaussian process for short-term wind power forecasting based on TLBO J Yan, Z Yang, K Li, Y Xue Intelligent Computing in Smart Grid and Electrical Vehicles: International …, 2014 | 4 | 2014 |
| On temporal resolution selection in time series wind power forecasting J Yan, X Zhao, K Li 2016 UKACC 11th International Conference on Control (CONTROL), 1-6, 2016 | 3 | 2016 |
| Efficient Gaussian process modelling of section weights in polymer stretch blow moulding J Yan, K Li, J Deng, Z Yang 2014 UKACC International Conference on Control (CONTROL), 192-197, 2014 | 1 | 2014 |
Kang LiUniversity of Leedsleeds.ac.uk의 이메일 확인됨