Recently large language models like GPT -3 have shown encouraging performance as implicit knowledge source and revealed planning abilities.

Specifically, we pose and answer the following questions: Q1. How do the learned spatial and temporal representations vary based on different VSSL pretrain-ing methodologies? How robust are these representations to different distribution shifts?

Consequently, recent research efforts have focused on developing pre-trained TS forecasting models.