Multimodal Forecasting on TimeMMD Energy
0.23MSEAurora
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| AuroraTraining Protocol=10% few-shot, Model Category=Foundation Model2025.09 | 0.23 | 0.329 | |
| CALFTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.244 | 0.365 | |
| AuroraTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.255 | 0.37 | |
| TATSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.255 | 0.368 | |
| Time-VLMTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.26 | 0.374 | |
| GPT4MTSTraining Protocol=Full-shot, Model Category=Multimodal End-to-end Supervised Model2025.09 | 0.262 | 0.38 | |
| SundialTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.272 | 0.367 | |
| VisionTSTraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.304 | 0.42 | |
| MOIRAITraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.324 | 0.417 | |
| ROSETraining Protocol=Zero-shot, Model Category=Foundation Model2025.09 | 0.386 | 0.479 |