模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
MLPMultivariate,2.001,1.414,1.032
BiTCN,2.003,1.415,1.099
NHITS,2.025,1.423,1.088
iTransformer,2.046,1.43,1.09
TiDE,2.152,1.467,1.134
TSMixer,2.215,1.488,1.178
NLinear,2.242,1.497,1.143
FEDformer,2.264,1.505,1.169
DeepNPTS,2.301,1.517,1.202
GRU,2.301,1.517,1.147
MLP,2.31,1.52,1.177
PatchTST,2.313,1.521,1.153
DilatedRNN,2.445,1.564,1.2
TSMixerx,2.486,1.577,1.236
Informer,2.598,1.612,1.215
TFT,2.699,1.643,1.262
DLinear,2.784,1.668,1.269
LSTM,3.986,1.996,1.722
StemGNN,5.342,2.311,1.863
TCN,7.324,2.706,2.371
RNN,14.527,3.811,2.512