模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
NLinear,811.576,28.488,19.74
RNN,897.124,29.952,22.074
TiDE,1015.113,31.861,23.22
LSTM,1072.179,32.744,25.674
DilatedRNN,1323.952,36.386,28.347
PatchTST,1353.449,36.789,26.175
TSMixer,1467.982,38.314,28.163
NHITS,1589.956,39.874,30.203
GRU,1764.144,42.002,35.821
DLinear,1831.303,42.794,30.357
DeepNPTS,2890.076,53.759,38.553
TFT,3040.148,55.138,42.36
MLP,3459.517,58.818,45.679
Informer,3635.914,60.299,44.59
TSMixerx,4352.664,65.975,49.521
BiTCN,4825.292,69.464,53.842
TCN,6703.221,81.873,65.098
iTransformer,12283.86,110.833,78.95
MLPMultivariate,12681.278,112.611,82.881
StemGNN,12731.685,112.835,91.7