Transformer Multivariate Forecasting: Enhancing Accuracy and Efficiency with PCA

The author proposes a novel framework that leverages Principal Component Analysis (PCA) to enhance transformer-based time series forecasting models by reducing redundant information, improving accuracy, and optimizing runtime efficiency.