| Ultra short‐term probability prediction of wind power based on LSTM network and condition normal distribution Y Sun, P Wang, S Zhai, D Hou, S Wang, Y Zhou Wind Energy 23 (1), 63-76, 2020 | 71 | 2020 |
| Power compensation of network losses in a microgrid with BESS by distributed consensus algorithm Y Sun, X Wu, J Wang, D Hou, S Wang IEEE Transactions on Systems, Man, and Cybernetics: Systems 51 (4), 2091-2100, 2020 | 51 | 2020 |
| A new hybrid short-term interval forecasting of PV output power based on EEMD-SE-RVM S Wang, Y Sun, Y Zhou, R Jamil Mahfoud, D Hou Energies 13 (1), 87, 2019 | 33 | 2019 |
| Network‐based robust event‐triggered control for continuous‐time uncertain semi‐Markov jump systems L Zhang, Y Sun, Y Pan, D Hou, S Wang International Journal of Robust and Nonlinear Control 31 (1), 306-323, 2021 | 29 | 2021 |
| Load frequency control for multi-area power system based on Markov model X Lv, S Zhai, Y Sun, D Hou, S Wang Journal of the Franklin Institute 358 (16), 8377-8395, 2021 | 19 | 2021 |
| Very short-term probabilistic prediction of PV based on multi-period error distribution S Wang, Y Sun, S Zhang, Y Zhou, D Hou, J Wang Electric Power Systems Research 214, 108817, 2023 | 17 | 2023 |
| Performance improvement of very short-term prediction intervals for regional wind power based on composite conditional nonlinear quantile regression Y Zhou, Y Sun, S Wang, RJ Mahfoud, HH Alhelou, N Hatziargyriou, ... Journal of Modern Power Systems and Clean Energy 10 (1), 60-70, 2021 | 17 | 2021 |
| Ultra-short-term wind power forecasting based on deep belief network S Wang, Y Sun, S Zhai, D Hou, P Wang, X Wu 2019 Chinese Control Conference (CCC), 7479-7483, 2019 | 17 | 2019 |
| Nonparametric probabilistic prediction of regional PV outputs based on granule-based clustering and direct optimization programming Y Sun, Y Zhou, S Wang, RJ Mahfoud, HH Alhelou, G Sideratos, ... Journal of Modern Power Systems and Clean Energy 11 (5), 1450-1461, 2023 | 14 | 2023 |
| A very short-term probabilistic prediction method of wind speed based on ALASSO-nonlinear quantile regression and integrated criterion Y Zhou, Y Sun, S Wang, L Bai, D Hou, RJ Mahfoud, P Wang CSEE Journal of Power and Energy Systems, 2021 | 12 | 2021 |
| Wind Power Forecasting in the presence of data scarcity: A very short-term conditional probabilistic modeling framework S Wang, W Zhang, Y Sun, A Trivedi, CY Chung, D Srinivasan Energy 291, 130305, 2024 | 11 | 2024 |
| Robust forecasting-aided state estimation considering uncertainty in distribution system D Hou, Y Sun, L Zhang, S Wang CSEE Journal of Power and Energy Systems, 2022 | 11 | 2022 |
| 基于小波长短期记忆网络的风电功率超短期概率预测. 王朋， 孙永辉， 翟苏巍， 候栋宸， 王森 Journal of Nanjing University of Information Science & Technology (Natural …, 2019 | 10 | 2019 |
| Dynamic state estimation of power systems with uncertainties based on robust adaptive unscented Kalman filter D Hou, Y Sun, J Wang, L Zhang, S Wang Journal of Modern Power Systems and Clean Energy 11 (4), 1065-1074, 2022 | 5 | 2022 |
| Very short-term prediction for wind power based on BiLSTM-Attention S Wang, Y Sun, J Wang, D Hou, L Zhang, Y Zhou 2021 IEEE Sustainable Power and Energy Conference (iSPEC), 292-296, 2021 | 4 | 2021 |
| 计及误差时间相依性的风电功率超短期条件概率预测. 王森， 孙永辉， 周衍， 王建喜， 侯栋宸， 张林闯 Electric Power Automation Equipment/Dianli Zidonghua Shebei 42 (11), 2022 | 2 | 2022 |
| 基于伪量测自适应插值策略的发电机动态状态估计 侯栋宸， 季嘉泓， 王建喜， 孙永辉， 王森， 金洪洪 高电压技术 47 (7), 2359-2366, 2021 | 2 | 2021 |
| Health status evaluation of GIS equipment based on FAHP C Yuan, Y Sun, S Wang, L Zhang, W Zhou, Y Zhou 2022 7th International Conference on Power and Renewable Energy (ICPRE), 160-166, 2022 | 1 | 2022 |
| Very short-term wind power forecasting considering static data: An improved transformer model S Wang, Y Sun, W Zhang, CY Chung, D Srinivasan Energy 312, 133577, 2024 | | 2024 |
| Short-term Forecasting of Solar Irradiance: A Lightweight Edge Computing Framework S Wang, W Zhang, Y Sun, V Archana, D Srinivasan 2024 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2024 | | 2024 |
Yonghui SUN(孙永辉)Professor of Hohai University在 hhu.edu.cn 的电子邮件经过验证
