Researchers found that standard transformer architectures can be highly effective for time series forecasting tasks, challenging prior assumptions about their suitability. The Autoformer model, a transformer variant, achieved state-of-the-art results on several benchmarks. This shows that transformers can be a viable option for time series forecasting, offering a new perspective on the problem. You can explore transformer-based models for your forecasting needs.