1. Power quality disturbance recognition based on multiresolution S-transform and decision tree;Zhong;IEEE Access,2019
2. Construction and evolution of China's new power system under dual carbon goal;Ren;Power Syst. Techn.,2022
3. A review of long-term planning of new power systems with large share of renewable energy;Li;Proc. CSEE,2023
4. An improved recognition method based on visual trajectory circle and Resnet18 for complex power quality disturbances;Lan;Proc. CSEE,2022
5. PQEventCog: classification of power quality disturbances based on optimized S-transform and CNNs with noisy labeled datasets;Fu;Electr. Power Syst. Res.,2023