模型(Model),平均平方误差(MSE),均方根误差(RMSE),平均绝对误差(MAE)
PatchTST,642.386,25.345,17.595
TFT,688.789,26.245,18.33
MLP,816.516,28.575,20.349
NHITS,878.17,29.634,20.56
Informer,885.199,29.752,20.666
NLinear,903.16,30.053,20.318
TSMixerx,1112.102,33.348,23.435
BiTCN,1173.803,34.261,24.163
TiDE,1649.537,40.614,29.023
DeepNPTS,1869.962,43.243,32.379
TSMixer,2751.218,52.452,36.396
RNN,2847.392,53.361,44.101
DLinear,3353.619,57.91,43.041
MLPMultivariate,3576.635,59.805,36.229
StemGNN,3949.092,62.842,42.198
GRU,4915.715,70.112,59.132
iTransformer,7841.481,88.552,63.528
TCN,10411.853,102.038,91.581
LSTM,29510.061,171.785,154.489
DilatedRNN,300681.875,548.345,522.002