| Intra-hour Photovoltaic Generation Forecasting based on Multi-source Data and Deep Learning Methods T Yao, J Wang, H Wu, P Zhang, S Li, K Xu, X Liu, X Chi IEEE Transactions on Sustainable Energy 13 (1), 607-618, 2022 | 60 | 2022 |
| A photovoltaic power output dataset: Multi-source photovoltaic power output dataset with Python toolkit T Yao, J Wang, H Wu, P Zhang, S Li, Y Wang, X Chi, M Shi Solar Energy 230, 122-130, 2021 | 36 | 2021 |
| 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 | 23 | 2023 |
| 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 10 (4), 1491-1501, 2024 | 15 | 2024 |
| VenusAI: An artificial intelligence platform for scientific discovery on supercomputers T Yao, J Wang, M Wan, Z Xin, Y Wang, R Cao, S Li, X Chi Journal of Systems Architecture 128, 102550, 2022 | 10 | 2022 |
| 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 15 (2), 1062-1073, 2023 | 7 | 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 | 7 | 2023 |
| Flow field reconstruction method based on array neural network W Yuqi, Y Wu, L Shan, Z Jian, R Huiying, Y Tiechui, K Menghai The Aeronautical Journal 125 (1283), 223-243, 2021 | 7 | 2021 |
| A Sparse Matrix Optimization Method for Graph Neural Networks Training T Yao, J Wang, J Gu, Y Shi, F Liu, X Wang, Y Wang, X Chi International Conference on Knowledge Science, Engineering and Management …, 2023 | 3 | 2023 |
| A graph partitioning algorithm based on graph structure and label propagation for citation network prediction W Xi, H He, J Gu, J Wang, T Yao, Z Liang International Conference on Knowledge Science, Engineering and Management …, 2023 | 2 | 2023 |
| Photovoltaic power forecast based on Time-Division LSTM XU Ke, W Jue, YAO Tiechui, LI Kai Frontiers of Data and Domputing 3 (5), 109-117, 2021 | 2 | 2021 |
| POSTER: ParGNN: Efficient Training for Large-Scale Graph Neural Network on GPU Clusters S Li, J Gu, J Wang, T Yao, Z Liang, Y Shi, S Li, W Xi, S Li, C Zhou, Y Wang, ... Proceedings of the 29th ACM SIGPLAN Annual Symposium on Principles and …, 2024 | 1 | 2024 |
| A Scalable Hybrid Total FETI Method for Massively Parallel FEM Simulations K Lin, C Zhou, Y Zeng, N Nie, J Wang, S Li, Y Feng, Y Wang, K Yao, ... Proceedings of the 28th ACM SIGPLAN Annual Symposium on Principles and …, 2023 | 1 | 2023 |
| 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 …, 2022 | 1 | 2022 |
| A Distributed photovoltaic power prediction system based on time series data processing LIU Xiaoyan, W Jue, YAO Tiechui, CHI Xuebin, W Xiaoguang, LI Kai Frontiers of Data and Domputing 3 (4), 140-148, 2021 | 1 | 2021 |
| Enhancing Load Forecasting with VAE-GAN-Based Data Cleaning for Electric Vehicle Charging Loads W Zhang, S Lei, Y Jiang, T Yao, Y Wang, Z Sun International Conference on Database Systems for Advanced Applications, 110-125, 2024 | | 2024 |