模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
PatchTST,847.898,29.119,21.041
NLinear,1036.997,32.202,24.318
NHITS,1224.82,34.997,25.062
MLP,1687.576,41.08,29.488
TFT,2289.522,47.849,33.59
BiTCN,3020.992,54.964,40.577
Informer,3532.014,59.431,46.436
TiDE,3700.651,60.833,44.453
FEDformer,4694.675,68.518,52.676
TSMixer,5285.01,72.698,55.318
MLPMultivariate,5635.67,75.071,57.694
TSMixerx,6758.13,82.208,62.804
DeepNPTS,7644.172,87.431,70.142
DLinear,8446.178,91.903,73.653
GRU,11533.363,107.393,95.255
LSTM,11540.298,107.426,92.262
StemGNN,14027.959,118.44,89.743
iTransformer,15670.617,125.182,100.969
TCN,19821.416,140.789,118.182
DilatedRNN,21523.955,146.71,126.693
RNN,109475.398,330.871,278.113