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…