Time Series Forecasting on Electricity (MSE, MAE, DTW, TDI)
0.175MSETime-LLM
Evaluation Results
| Method | Links | ||||
|---|---|---|---|---|---|
| Time-LLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.175 | 0.27 | 4.6 | 0.016 | |
| GPT4TSlearning_protocol=Few-shot, training_data=10%2026.05 | 0.176 | 0.269 | 4.46 | 0.016 | |
| STaTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.177 | 0.273 | 4.42 | 0.016 | |
| PatchTSTlearning_protocol=Few-shot, training_data=10%2026.05 | 0.18 | 0.273 | 4.865 | 0.016 | |
| DLinearlearning_protocol=Few-shot, training_data=10%2026.05 | 0.18 | 0.28 | 4.651 | 0.018 | |
| Time-VLMlearning_protocol=Few-shot, training_data=10%2026.05 | 0.188 | 0.291 | 5.059 | 0.017 | |
| TimeCMAlearning_protocol=Few-shot, training_data=10%2026.05 | 0.207 | 0.305 | 4.668 | 0.017 | |
| TimesNetlearning_protocol=Few-shot, training_data=10%2026.05 | 0.323 | 0.392 | 5.709 | 0.023 | |
| FEDformerlearning_protocol=Few-shot, training_data=10%2026.05 | 0.346 | 0.427 | 5.913 | 0.024 | |
| Stationarylearning_protocol=Few-shot, training_data=10%2026.05 | 0.444 | 0.48 | 5.518 | 0.022 |