| Dynamic directed graph convolution network based ultra‐short‐term forecasting method of distributed photovoltaic power to enhance the resilience and flexibility of distribution … Y Wang, W Fu, X Zhang, Z Zhen, F Wang IET Generation, Transmission & Distribution 18 (2), 337-352, 2024 | 35 | 2024 |
| Adaptive optimal greedy clustering-based monthly electricity consumption forecasting method Y Wang, Z Fu, F Wang, K Li, Z Li, Z Zhen, P Dehghanian, ... IEEE Transactions on Industry Applications 58 (6), 7881-7891, 2022 | 12 | 2022 |
| Ultra-short-term distributed PV power forecasting for virtual power plant considering data-scarce scenarios Y Wang, W Fu, J Wang, Z Zhen, F Wang Applied Energy 373, 123890, 2024 | 6 | 2024 |
| A spatiotemporal federated learning based distributed photovoltaic ultra-short-term power forecasting method W Fu, X Zhang, J Wang, D Yang, Y Lv, Y Wang, Z Zhen, F Wang 2023 IEEE/IAS 59th Industrial and Commercial Power Systems Technical …, 2023 | 3 | 2023 |
| Greedy clustering-based monthly electricity consumption forecasting model Y Wang, Z Li, F Wang, Z Zhen, P Dehghanian, JPS Catalão, K Li, ... 2021 IEEE industry applications society annual meeting (IAS), 1-8, 2021 | 3 | 2021 |
| Domain Adversarial Graph Neural Network based Regional Distributed PV Ultra-Short-term Power Forecasting Considering Data-Scarce Scenarios Y Wang, H Dai, Z Zhen, F Wang, J Wang, L Lu 2024 IEEE Power & Energy Society General Meeting (PESGM), 1-5, 2024 | | 2024 |
| Spatiotemporal Federated Learning Based Regional Distributed PV Ultra-short-term Power Forecasting Method Y Wang, W Fu, J Chen, J Wang, Z Zhen, F Wang, F Xu, N Duić, D Yang, ... IEEE Transactions on Industry Applications, 2024 | | 2024 |
| A Distributed Photovoltaic Ultra-short-term Power Forecasting Method Based on Dynamic Graph Network with Shape-amplitude Loss Function J Yu, Y Wang, Z Zhen, F Wang 2023 IEEE International Conference on Energy Technologies for Future Grids …, 2023 | | 2023 |
| Spatio-temporal Granularity Co-optimization Based Monthly Electricity Consumption Forecasting K Li, Y Wang, N Zhang, F Wang, C Huang CSEE Journal of Power and Energy Systems 9 (5), 1980-1984, 2022 | | 2022 |
Kangping LiAssociate Professor, College of Smart Enegry, Shanghai Jiao Tong UniversityПідтверджена електронна адреса в sjtu.edu.cn