TEMPO: A Prompt-Based Generative Pre-Trained Transformer for Robust Time Series Forecasting

TEMPO, a novel framework that can effectively learn time series representations by utilizing two essential inductive biases: (i) decomposition of the complex interaction between trend, seasonal and residual components; and (ii) introducing the design of prompts to facilitate distribution adaptation in different types of time series.