| A novel bidirectional mechanism based on time series model for wind power forecasting Y Zhao, L Ye, Z Li, X Song, Y Lang, J Su Applied energy 177, 793-803, 2016 | 241 | 2016 |
| Correlation-constrained and sparsity-controlled vector autoregressive model for spatio-temporal wind power forecasting Y Zhao, L Ye, P Pinson, Y Tang, P Lu IEEE Transactions on Power Systems 33 (5), 5029-5040, 2018 | 173 | 2018 |
| Data-driven correction approach to refine power curve of wind farm under wind curtailment Y Zhao, L Ye, W Wang, H Sun, Y Ju, Y Tang IEEE Transactions on Sustainable Energy 9 (1), 95-105, 2017 | 169 | 2017 |
| Short-term wind power prediction based on extreme learning machine with error correction Z Li, L Ye, Y Zhao, X Song, J Teng, J Jin Protection and Control of Modern Power Systems 1 (1), 1-8, 2016 | 161 | 2016 |
| Review of meta-heuristic algorithms for wind power prediction: Methodologies, applications and challenges P Lu, L Ye, Y Zhao, B Dai, M Pei, Y Tang Applied Energy 301, 117446, 2021 | 141 | 2021 |
| Hierarchical model predictive control strategy based on dynamic active power dispatch for wind power cluster integration L Ye, C Zhang, Y Tang, W Zhong, Y Zhao, P Lu, B Zhai, H Lan, Z Li IEEE Transactions on power systems 34 (6), 4617-4629, 2019 | 128 | 2019 |
| Short-term wind power prediction based on spatial model L Ye, Y Zhao, C Zeng, C Zhang Renewable Energy 101, 1067-1074, 2017 | 117 | 2017 |
| A novel spatio-temporal wind power forecasting framework based on multi-output support vector machine and optimization strategy P Lu, L Ye, W Zhong, Y Qu, B Zhai, Y Tang, Y Zhao Journal of Cleaner Production 254, 119993, 2020 | 73 | 2020 |
| A review on wind power prediction based on spatial correlation approach L Ye, Y Zhao Automation of Electric Power Systems 38 (14), 126-135, 2014 | 64 | 2014 |
| 基于空间相关性的风电功率预测研究综述 叶林， 赵永宁 电力系统自动化 38 (14), 126-135, 2014 | 63 | 2014 |
| A new hybrid prediction method of ultra-short-term wind power forecasting based on EEMD-PE and LSSVM optimized by the GSA P Lu, L Ye, B Sun, C Zhang, Y Zhao, J Teng Energies 11 (4), 697, 2018 | 62 | 2018 |
| Short-term wind power forecasting based on meteorological feature extraction and optimization strategy P Lu, L Ye, M Pei, Y Zhao, B Dai, Z Li Renewable Energy 184, 642-661, 2022 | 61 | 2022 |
| Characteristics and processing method of abnormal data clusters caused by wind curtailments in wind farms Y Zhao, L Ye, Q Zhu Automation of electric power systems 38 (21), 39-46, 2014 | 58 | 2014 |
| A spatiotemporal directed graph convolution network for ultra-short-term wind power prediction Z Li, L Ye, Y Zhao, M Pei, P Lu, Y Li, B Dai IEEE Transactions on Sustainable Energy 14 (1), 39-54, 2022 | 55 | 2022 |
| An ensemble method for short-term wind power prediction considering error correction strategy L Ye, B Dai, Z Li, M Pei, Y Zhao, P Lu Applied Energy 322, 119475, 2022 | 53 | 2022 |
| Feature extraction of meteorological factors for wind power prediction based on variable weight combined method P Lu, L Ye, Y Zhao, B Dai, M Pei, Z Li Renewable Energy 179, 1925-1939, 2021 | 46 | 2021 |
| Optimal operation of compressor units in gas networks to provide flexibility to power systems Y Zhao, X Xu, M Qadrdan, J Wu Applied Energy 290, 116740, 2021 | 43 | 2021 |
| Ultra-short-term combined prediction approach based on kernel function switch mechanism P Lu, L Ye, Y Tang, Y Zhao, W Zhong, Y Qu, B Zhai Renewable Energy 164, 842-866, 2021 | 41 | 2021 |
| 风电场弃风异常数据簇的特征及处理方法 赵永宁， 叶林， 朱倩雯 电力系统自动化 38 (21), 39-46, 2014 | 40 | 2014 |
| Photovoltaic power forecasting model based on genetic algorithm and fuzzy radial basis function neural network L Ye, Z Chen, Y Zhao, Q Zhu Autom. Electr. Power Syst 39 (16), 16-22, 2015 | 39 | 2015 |
