模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
NLinear,1.791,1.338,1.067
TiDE,1.839,1.356,1.07
GRU,1.874,1.369,1.046
TSMixer,1.88,1.371,1.071
PatchTST,2.091,1.446,1.13
TSMixerx,2.31,1.52,1.174
BiTCN,2.328,1.526,1.202
DLinear,2.359,1.536,1.188
TFT,2.61,1.615,1.261
LSTM,2.665,1.632,1.221
NHITS,2.781,1.668,1.331
MLP,2.868,1.693,1.322
DeepNPTS,3.198,1.788,1.362
Informer,3.963,1.991,1.577
TCN,6.503,2.55,2.153
MLPMultivariate,9.38,3.063,2.334
iTransformer,13.345,3.653,3.049
StemGNN,15.866,3.983,3.346
DilatedRNN,16.146,4.018,3.728
RNN,537.684,23.188,22.573