| 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 | 107 | 2021 |
| 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 | 45 | 2022 |
| 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 | 43 | 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 | 43 | 2021 |
| A combined model for short-term wind power forecasting based on the analysis of numerical weather prediction data B He, L Ye, M Pei, P Lu, B Dai, Z Li, K Wang Energy Reports 8, 929-939, 2022 | 42 | 2022 |
| Combined approach for short-term wind power forecasting based on wave division and Seq2Seq model using deep learning L Ye, B Dai, M Pei, P Lu, J Zhao, M Chen, B Wang IEEE Transactions on Industry Applications 58 (2), 2586-2596, 2022 | 33 | 2022 |
| A novel integrated method for short-term wind power forecasting based on fluctuation clustering and history matching L Ye, Y Li, M Pei, Y Zhao, Z Li, P Lu Applied Energy 327, 120131, 2022 | 26 | 2022 |
| 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 | 25 | 2022 |
| Short-term regional wind power forecasting based on spatial–temporal correlation and dynamic clustering model M Pei, L Ye, Y Li, Y Luo, X Song, Y Yu, Y Zhao Energy Reports 8, 10786-10802, 2022 | 24 | 2022 |
| 基于天气分型的短期光伏功率组合预测方法 叶林， 裴铭， 路朋， 赵金龙， 何博宇 电力系统自动化 45 (1), 44-54, 2021 | 7 | 2021 |
| 考虑气象特征与波动过程关联的短期风电功率组合预测 叶林， 赵金龙， 路朋， 裴铭， 陈梅， 王勃， 车建峰 电力系统自动化 45 (4), 54-62, 2021 | 7 | 2021 |
| 风电集群有功功率模型预测协调控制策略 路朋， 叶林， 裴铭， 何博宇， 汤涌， 翟丙旭， 曲莹， 李卓 中国电机工程学报 41 (17), 5887-5899, 2021 | 6 | 2021 |
| Combined approach for short-term wind power forecasting considering meteorological fluctuation and feature extraction L Ye, J Zhao, P Lu, M Pei, M Chen, B Wang 2020 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 1334 …, 2020 | 5 | 2020 |
| 基于时空相关性的风电功率超短期自适应预测方法 赵永宁， 李卓， 叶林， 裴铭， 宋旭日， 罗雅迪， 於益军 电力系统保护与控制 51 (6), 94-105, 2023 | 1 | 2023 |
| Research on Wind Power Optimal Dispatch Based on Model Predictive Control C Lü, X Duan, P Lu, B Ye, M Pei, X Song, M Quan, J Zhao, Z Li 2020 IEEE 4th Conference on Energy Internet and Energy System Integration …, 2020 | 1 | 2020 |
| Hierarchical control strategy of wind-storage frequency support for SOC recovery optimization and arbitrage revenue M Pei, Q Wang, L Ye, Y Luo, L Sha, Z Zhang, X Song Applied Energy 365, 123229, 2024 | | 2024 |
| Ex-ante and ex-post decomposition strategy for ultra-short-term wind power prediction P Lu, Z Li, L Ye, M Pei, Y Zheng, Y Zhao, Y Sang CSEE Journal of Power and Energy Systems, 2024 | | 2024 |
| Short-term Wind Power Prediction Based on DLinear-CrossFormer Considering Error Correction Y Chen, Y Zhao, S Pan, L Ye, M Pei 2024 9th Asia Conference on Power and Electrical Engineering (ACPEE), 2727-2731, 2024 | | 2024 |
| Heterogeneous Spatiotemporal Graph Convolution Network for Multi-Modal Wind-PV Power Collaborative Prediction Z Li, L Ye, X Song, Y Luo, M Pei, K Wang, Y Yu, Y Tang IEEE Transactions on Power Systems, 2023 | | 2023 |
| Short-term output prediction of distributed photovoltaic based on dual attention mechanism recurrent neural network C Xu, W Xu, K Guo, L Ye, J Yang, M Pei 2023 8th International Conference on Power and Renewable Energy (ICPRE …, 2023 | | 2023 |
Yongning Zhao (赵永宁)China Agricultural University在 cau.edu.cn 的电子邮件经过验证
