Long-term forecasting on Weather (MSE, MAE)
0.147MSEGTM
Evaluation Results
| Method | Links | ||
|---|---|---|---|
| GTMPred_len=962025.02 | 0.147 | 0.197 | |
| GTMT=962025.02 | 0.147 | 0.197 | |
| PatchTSTT=962025.02 | 0.149 | 0.198 | |
| Time-MOE-bPred_len=962025.02 | 0.151 | 0.203 | |
| TTMET=962025.02 | 0.154 | — | |
| UniTS-PMTT=962025.02 | 0.157 | 0.206 | |
| Sundial-sPred_len=962025.02 | 0.158 | 0.206 | |
| GPT4TST=962025.02 | 0.162 | 0.212 | |
| TimesNet + xCPDBackbone=TimesNet, Forecasting Horizon=962026.03 | 0.164 | 0.212 | |
| PatchTST + xCPDBackbone=PatchTST, Forecasting Horizon=962026.03 | 0.167 | 0.218 | |
| TimesNetT=962025.02 | 0.172 | 0.22 | |
| DLinearT=962025.02 | 0.176 | 0.237 | |
| GTMPred_len=1922025.02 | 0.192 | 0.241 | |
| GTMT=1922025.02 | 0.192 | 0.241 | |
| PatchTSTT=1922025.02 | 0.194 | 0.241 | |
| Time-MOE-bPred_len=1922025.02 | 0.195 | 0.246 | |
| GPT4TST=1922025.02 | 0.204 | 0.248 | |
| Sundial-sPred_len=1922025.02 | 0.205 | 0.253 | |
| TTMET=1922025.02 | 0.207 | — | |
| UniTS-PMTT=1922025.02 | 0.208 | 0.251 | |
| TimesNetT=1922025.02 | 0.219 | 0.261 | |
| DLinearT=1922025.02 | 0.22 | 0.282 | |
| GTMPred_len=Avg.2025.02 | 0.225 | 0.266 | |
| GTMstatus=pre-trained without modifications2025.02 | 0.225 | 0.266 | |
| PatchTST2025.02 | 0.225 | 0.263 | |
| GTMT=Avg2025.02 | 0.225 | 0.266 | |
| PatchTSTT=Avg2025.02 | 0.225 | 0.263 | |
| Sundial-sPred_len=Avg.2025.02 | 0.233 | 0.271 | |
| TTM_E2025.02 | 0.234 | — | |
| TTMET=Avg2025.02 | 0.234 | — | |
| Time-MOE-bPred_len=Avg.2025.02 | 0.236 | 0.275 | |
| GPT4TS2025.02 | 0.237 | 0.27 | |
| GPT4TST=Avg2025.02 | 0.237 | 0.27 | |
| FEDformerT=962025.02 | 0.238 | 0.314 | |
| UniTS-PMT2025.02 | 0.243 | 0.273 | |
| UniTS-PMTT=Avg2025.02 | 0.243 | 0.273 | |
| PatchTSTT=3362025.02 | 0.245 | 0.282 | |
| DLinear2025.02 | 0.246 | 0.3 | |
| DLinearT=Avg2025.02 | 0.246 | 0.3 | |
| Time-MOE-bPred_len=3362025.02 | 0.247 | 0.288 | |
| AutoformerT=962025.02 | 0.249 | 0.329 | |
| GTMPred_len=3362025.02 | 0.25 | 0.291 | |
| GTMT=3362025.02 | 0.25 | 0.291 | |
| TTMET=3362025.02 | 0.25 | — | |
| Sundial-sPred_len=3362025.02 | 0.254 | 0.29 | |
| GPT4TST=3362025.02 | 0.254 | 0.286 | |
| FeDaLPretraining Paradigm=FL Pretraining, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=231B, Params#=28.42M2025.08 | 0.255 | 0.284 | |
| Time-MoEuPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=300B, Params#=2.4B2025.08 | 0.256 | 0.288 | |
| TimesNet2025.02 | 0.259 | 0.287 | |
| TimesNetT=Avg2025.02 | 0.259 | 0.287 | |
| FFTSPretraining Paradigm=FL Pretraining, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=231B, Params#=31.18M2025.08 | 0.262 | 0.3 | |
| UniTS-PMTT=3362025.02 | 0.264 | 0.291 | |
| MoirailPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=231B, Params#=91M2025.08 | 0.264 | 0.273 | |
| DLinearT=3362025.02 | 0.265 | 0.319 | |
| Time-MoEbPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=300B, Params#=113M2025.08 | 0.265 | 0.297 | |
| Time-MoElPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=300B, Params#=453M2025.08 | 0.27 | 0.3 | |
| FedAvgPretraining Paradigm=FL Pretraining, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=231B, Params#=28.42M2025.08 | 0.277 | 0.305 | |
| ChronoslPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=84B, Params#=710M2025.08 | 0.279 | 0.306 | |
| TimesNetT=3362025.02 | 0.28 | 0.306 | |
| MoiraibPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=231B, Params#=84M2025.08 | 0.287 | 0.281 | |
| ChronosbPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=84B, Params#=200M2025.08 | 0.292 | 0.315 | |
| MomentPretraining Paradigm=Centralized, Zero-shot=true, Observation lengths={512, 1024, 2048, 3072}, Forecasting horizons={96, 192, 336, 720}, Data Scale=1.13B, Params#=385M2025.08 | 0.294 | 0.326 | |
| InformerT=962025.02 | 0.3 | 0.384 | |
| GTMPred_len=7202025.02 | 0.31 | 0.334 | |
| GTMT=7202025.02 | 0.31 | 0.334 | |
| PatchTSTT=7202025.02 | 0.314 | 0.334 | |
| Sundial-sPred_len=7202025.02 | 0.315 | 0.336 | |
| DLinearT=7202025.02 | 0.323 | 0.362 | |
| TTMET=7202025.02 | 0.324 | — | |
| FEDformerT=1922025.02 | 0.325 | 0.37 | |
| AutoformerT=1922025.02 | 0.325 | 0.37 | |
| GPT4TST=7202025.02 | 0.326 | 0.337 | |
| FEDformer2025.02 | 0.332 | 0.375 | |
| FEDformerT=Avg2025.02 | 0.332 | 0.375 | |
| Autoformer2025.02 | 0.335 | 0.379 | |
| AutoformerT=Avg2025.02 | 0.335 | 0.379 | |
| UniTS-PMTT=7202025.02 | 0.344 | 0.344 | |
| FEDformerT=3362025.02 | 0.351 | 0.391 | |
| AutoformerT=3362025.02 | 0.351 | 0.391 | |
| Time-MOE-bPred_len=7202025.02 | 0.352 | 0.366 | |
| TimesNetT=7202025.02 | 0.365 | 0.359 | |
| FEDformerT=7202025.02 | 0.415 | 0.426 | |
| AutoformerT=7202025.02 | 0.415 | 0.426 | |
| InformerT=3362025.02 | 0.578 | 0.523 | |
| InformerT=1922025.02 | 0.598 | 0.544 | |
| Informer2025.02 | 0.634 | 0.548 | |
| InformerT=Avg2025.02 | 0.634 | 0.548 | |
| InformerT=7202025.02 | 1.059 | 0.741 |