2 papers
cs.LG2025
The day-ahead scenario generation method for new energy based on an improved conditional generative diffusion model
Changgang Wang, Wei Liu, Yu Cao +3
In the context of the rising share of new energy generation, accurately generating new energy output scenarios is crucial for day-ahead power system scheduling. Deep learning-based…
eess.SY2024
Critical link identification of power system vulnerability based on modified graph attention network
Changgang Wang, Xianwei Wang, Yu Cao +3
With the expansion of the power grid and the increase of the proportion of new energy sources, the uncertainty and random factors of the power grid increase, endangering the safe o…