模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
BiTCN,1.824,1.35,1.036
TSMixer,1.947,1.395,1.097
TiDE,2.017,1.42,1.098
MLPMultivariate,2.049,1.432,1.056
NHITS,2.087,1.445,1.113
NLinear,2.157,1.469,1.105
PatchTST,2.267,1.506,1.123
DilatedRNN,2.329,1.526,1.16
DLinear,2.361,1.537,1.125
GRU,2.372,1.54,1.167
TSMixerx,2.381,1.543,1.185
MLP,2.409,1.552,1.203
TFT,2.449,1.565,1.162
DeepNPTS,2.456,1.567,1.22
iTransformer,2.498,1.581,1.2
FEDformer,2.516,1.586,1.222
Informer,2.541,1.594,1.165
RNN,3.071,1.753,1.298
StemGNN,3.297,1.816,1.486
LSTM,3.573,1.89,1.601
TCN,8.293,2.88,2.592