Are Transformers Effective for Time Series Forecasting?

🤖 Plain-English Summary

Recently, there has been a surge of Transformer-based solutions for the long-term time series forecasting (LTSF) task. We hope this surprising finding opens up new research directions for the LTSF task.

🔑 Key Findings

• Despite the growing performance over the past few years, we question the validity of this line of research in this work.
• Specifically, Transformers is arguably the most successful solution to extract the semantic correlations among the elements in a long sequence.
• However, in time series modeling, we are to extract the temporal relations in an ordered set of continuous points.

🔗 Related Resources