Efficient Long-Term Time-Series Forecasting with a Simple MLP-Based Encoder-Decoder Model

A simple and efficient MLP-based encoder-decoder model, Time-series Dense Encoder (TiDE), can match or outperform state-of-the-art Transformer-based approaches on popular long-term forecasting benchmarks while being 5-10x faster.