ETTh1 is one of four ETT benchmark datasets for long-term time series forecasting. It records electricity transformer oil temperature and load at hourly granularity from a power station in China (July 2016 – July 2018). Results reported as averages across prediction horizons {96, 192, 336, 720}.
6 results indexed across 2 metrics. Shaded row marks current SOTA; ties broken by submission date.
| # | Model | Org | Submitted | Paper / code | mae |
|---|---|---|---|---|---|
| 01 | Chronos-LargeOSS | Amazon | Feb 2025 | Sundial: A Family of Highly Capable Time Series Foundati… | 0.466 |
| 02 | TimeLLMOSS | Tongji University / Ant Group | May 2024 | Time-LLM: Time Series Forecasting by Reprogramming Large… · code | 0.456 |
| 03 | TimesFMOSS | Google Research | Feb 2025 | Sundial: A Family of Highly Capable Time Series Foundati… | 0.443 |
| # | Model | Org | Submitted | Paper / code | mse |
|---|---|---|---|---|---|
| 01 | Chronos-LargeOSS | Amazon | Feb 2025 | Sundial: A Family of Highly Capable Time Series Foundati… | 0.588 |
| 02 | TimesFMOSS | Google Research | Feb 2025 | Sundial: A Family of Highly Capable Time Series Foundati… | 0.473 |
| 03 | TimeLLMOSS | Tongji University / Ant Group | May 2024 | Time-LLM: Time Series Forecasting by Reprogramming Large… · code | 0.448 |
Each row below marks a model that broke the previous record on mse. Intermediate submissions are kept in the leaderboard above; only SOTA-setting entries are re-listed here.
Higher scores win. Each subsequent entry improved upon the previous best.
Every paper below corresponds to at least one row in the leaderboard above. Click through for the arXiv preprint and, when available, the reference implementation.
Submit a checkpoint and a reproduction script. We will run it, publish the score, and — if it takes the top — annotate the step on the progress chart with your name.