模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
NBEATS,154165.48,392.639,297.061
NHITS,155955.23,394.912,298.077
NLinear,164834.77,405.998,302.343
PatchTST,297246.62,545.203,402.05
TiDE,515884.38,718.251,548.61
MLPMultivariate,646344.5,803.956,630.858
StemGNN,659987.6,812.396,636.391
BiTCN,660022.4,812.418,636.421
MLP,666076.5,816.135,641.565
TSMixerx,692425.25,832.121,656.647
TFT,759378.8,871.423,689.949
iTransformer,765466.0,874.909,688.628
Informer,770897.2,878.008,694.087
DLinear,823347.06,907.385,711.249
TCN,828552.4,910.249,699.913
RNN,828750.94,910.358,700.011
DilatedRNN,828752.94,910.359,700.013
LSTM,828757.6,910.361,700.016
GRU,828777.8,910.372,700.028
DeepNPTS,933536.3,966.197,730.86
TSMixer,933695.4,966.279,725.053