Exploring Generative Data Augmentation in Multivariate Time Series Forecasting : Opportunities and Challenges

This work introduces a novel meta-algorithm for time-series data augmentation to address the data scarcity problem, and generates synthetic MTS data preserving temporal dynamics using an off-the-shelf generative algorithm and frame augmentation in MTS as a transfer learning problem.