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Multivariate Time Series Forecasting on Electricity (MAE, MSE)

0.242MAEiTransformer
0.22920.31560.4020.4884Dec 25, 2024Mar 22, 2025Jun 18, 2025Sep 14, 2025Dec 10, 2025Mar 8, 2026Jun 4, 2026

Evaluation results

MethodLinks
iTransformerForecasting horizon (T)=962025.010.2420.15
VarDropForecasting horizon (T)=962025.010.2450.153
TimeMixerPrediction Length=Avg, Lookback Setting=search2025.060.2460.156
SARAFHorizon=Avg, Look-back window=7202026.060.2510.152
AOSNETPrediction Horizon=Avg, Look-back length=962026.060.2520.159
DLinearHorizon=Avg, Look-back window=7202026.060.2550.155
iTransformerForecasting horizon (T)=1922025.010.2560.166
VarDropForecasting horizon (T)=1922025.010.2570.167
DeepEDMPrediction Length=Avg, Lookback Setting=search2025.060.2570.164
SimpleTMHorizon=Avg2026.050.260.166
IsterPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.260.167
NPMixerHorizon=Avg2026.050.2630.167
TimeSAFLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.2640.174
FlashAttentionForecasting horizon (T)=962025.010.2650.178
CALFLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.2650.175
S-MambaPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.2650.17
ReinPatchTraining Mode=foundation, Horizons=H ∈ {96, 192, 336, 720}2026.030.2670.168
FlowformerForecasting horizon (T)=962025.010.2670.183
Entropy PatchingHorizons=H ∈ {96, 192, 336, 720}2026.030.2680.17
iTransformerForecasting horizon (T)=Avg2025.010.2690.178
iTransformerLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.270.178
TimeXerPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.270.171
iTransformerPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.270.178
iTransformerPrediction Horizon=Avg, Look-back length=962026.060.270.178
VarDropForecasting horizon (T)=Avg2025.010.2710.181
ReinPatchTraining Mode=end-to-end, Horizons=H ∈ {96, 192, 336, 720}2026.030.2730.172
H-Net’s ChunkingHorizons=H ∈ {96, 192, 336, 720}2026.030.2740.174
Li-NetPrediction Length=962026.030.2750.1757
VarDropForecasting horizon (T)=3362025.010.2750.183
ReformerForecasting horizon (T)=962025.010.2750.182
FlashAttentionForecasting horizon (T)=1922025.010.2760.189
iTransformerForecasting horizon (T)=3362025.010.2760.184
TimeMixerPrediction Length=962026.030.27620.1764
TimeSqueeze’s CompressionHorizons=H ∈ {96, 192, 336, 720}2026.030.2770.176
FlowformerForecasting horizon (T)=1922025.010.2770.192
ReformerForecasting horizon (T)=1922025.010.2860.192
InformerForecasting horizon (T)=962025.010.2860.19
PatchTSTPrediction Length=962026.030.28660.189
Li-NetPrediction Length=1922026.030.28670.1882
TimeCMALookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.2870.194
TimeMixerPrediction Length=1922026.030.28790.1896
PatchTSTLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.290.205
PatchTSTPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.290.205
FlashAttentionForecasting horizon (T)=Avg2025.010.2910.206
Periodic PatchingHorizons=H ∈ {96, 192, 336, 720}2026.030.2920.187
FlowformerForecasting horizon (T)=Avg2025.010.2930.21
PatchTSTPrediction Length=1922026.030.29350.196
FlashAttentionForecasting horizon (T)=3362025.010.2940.207
FlowformerForecasting horizon (T)=3362025.010.2950.21
TimesNetPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.2950.193
InformerForecasting horizon (T)=1922025.010.2970.201
Selective PatchingHorizons=H ∈ {96, 192, 336, 720}2026.030.2980.191
Static PatchingHorizons=H ∈ {96, 192, 336, 720}2026.030.2990.192
Time-FFMLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.2990.216
DLinearPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.30.212
ReformerForecasting horizon (T)=Avg2025.010.3010.208
MSGNetPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.3010.194
iTransformerForecasting horizon (T)=7202025.010.3020.214
Li-NetPrediction Length=3362026.030.30290.2022
ReformerForecasting horizon (T)=3362025.010.3040.21
UniTimeLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.3040.215
VarDropForecasting horizon (T)=7202025.010.3050.22
TFTPrediction Length=962026.030.30520.2039
TimeMixerPrediction Length=3362026.030.30640.2081
GPT4TSLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.3070.217
Time-LLMLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.3090.223
PatchTSTPrediction Length=3362026.030.31070.214
InformerForecasting horizon (T)=Avg2025.010.3110.216
TFTPrediction Length=1922026.030.31230.2122
InformerForecasting horizon (T)=3362025.010.3150.218
FEDformerLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.3260.213
TFTPrediction Length=3362026.030.32840.2295
FlashAttentionForecasting horizon (T)=7202025.010.3290.251
FlowformerForecasting horizon (T)=7202025.010.3320.255
CrossformerLookback length (T)=96, Prediction length (H)={96, 192, 336, 720}2026.040.3340.244
CrossformerPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.3340.244
Li-NetPrediction Length=7202026.030.33690.2434
ReformerForecasting horizon (T)=7202025.010.3390.249
TimeMixerPrediction Length=7202026.030.34130.2508
iTransformerPrediction Length=7202026.030.3440.2672
PatchTSTPrediction Length=7202026.030.34470.257
InformerForecasting horizon (T)=7202025.010.3470.255
TFTPrediction Length=7202026.030.34970.2578
iTransformerPrediction Length=962026.030.370.2885
TransformerHorizon=48, Input sequence length=96, Training strategy=Separately trained for each horizon2026.050.3840.373
iTransformerPrediction Length=1922026.030.3940.3136
TCNPrediction Length=1922026.030.40320.3241
TCNPrediction Length=7202026.030.40940.3414
iTransformerPrediction Length=3362026.030.4130.3361
FSAHorizon=24, Input sequence length=96, Training strategy=Once-trained (autoregressive step size 3)2026.050.4160.318
TCNPrediction Length=962026.030.43090.3607
TCNPrediction Length=3362026.030.44290.3844
FSAHorizon=48, Input sequence length=96, Training strategy=Once-trained (autoregressive step size 3)2026.050.4450.362
FSAHorizon=96, Input sequence length=96, Training strategy=Once-trained (autoregressive step size 3)2026.050.4770.403
PatchTSTHorizon=24, Input sequence length=96, Training strategy=Separately trained for each horizon2026.050.4780.397
ChronosHorizon=24, Input sequence length=96, Training strategy=Separately trained for each horizon2026.050.4910.412
TransformerHorizon=96, Input sequence length=96, Training strategy=Separately trained for each horizon2026.050.50.531
PatchTSTHorizon=48, Input sequence length=96, Training strategy=Separately trained for each horizon2026.050.520.457
SCINetPrediction length S={96, 192, 336, 720}, Look-back length T=962024.120.5370.571
PatchTSTHorizon=96, Input sequence length=96, Training strategy=Separately trained for each horizon2026.050.5620.525