please write a paragraph that explain the application of transformer in time-series prediction

Certainly! Transformers can be used for time-series prediction by utilizing their self-attention mechanism. Self-attention allows for the model to weigh the importance of different positions in the sequence and assign higher weights to the relevant time steps. This enables the model to capture both short-term and long-term dependencies in the time-series data. The transformer model can be trained using supervised learning techniques to predict the next value in the time-series, given a sequence of historical data. The model can also be used for multivariate time-series prediction, where it takes in multiple time-series as input and outputs predictions for each of them. Overall, transformers offer a powerful and flexible approach for time-series prediction tasks.