| Very short-term forecasting of distributed PV power using GSTANN T Yao, J Wang, Y Wang, P Zhang, H Cao, X Chi, M Shi CSEE Journal of Power and Energy Systems, 2022 | 5 | 2022 |
| InParformer: evolutionary decomposition transformers with interactive parallel attention for long-term time series forecasting H Cao, Z Huang, T Yao, J Wang, H He, Y Wang Proceedings of the AAAI Conference on Artificial Intelligence 37 (6), 6906-6915, 2023 | 4 | 2023 |
| Dual-encoder transformer for short-term photovoltaic power prediction using satellite remote-sensing data H Cao, J Yang, X Zhao, T Yao, J Wang, H He, Y Wang Applied Sciences 13 (3), 1908, 2023 | 3 | 2023 |
| A hybrid feature extraction network for intrusion detection based on global attention mechanism W Chen, H Cao, X Lv, Y Cao 2020 International Conference on Computer Information and Big Data …, 2020 | 3 | 2020 |
| A Multi-level Attention-Based LSTM Network for Ultra-short-term Solar Power Forecast Using Meteorological Knowledge T Yao, J Wang, H Cao, F Liu, X Wang, Y Wang, X Chi International Conference on Knowledge Science, Engineering and Management, 16-28, 2022 | 1 | 2022 |
| A Deep Learning Method for Intrusion Detection by Spatial and Temporal Feature Extraction H Cao, W Chen, S Ye, Z Jiao, Y Cao Proceedings of the 9th International Conference on Computer Engineering and …, 2021 | 1 | 2021 |
| Day-ahead PV Power Forecasting Model based on Fine-grained Temporal Attention and Cloud-coverage Spatial Attention J Yang, H He, X Zhao, J Wang, T Yao, H Cao, M Wan IEEE Transactions on Sustainable Energy, 2023 | | 2023 |
| 新能源多时空尺度仿真系统 杨智策， 王珏， 操海洲， 王晓光， 王彦棡 计算机系统应用 29 (8), 105-112, 2020 | | 2020 |
