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Time Series Forecasting
벤치마크
Time Series Forecasting on ETTh1 (192) Multivariate
34개 결과 ·
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MSE
낮을수록 좋음
0.373
0.393
0.413
0.433
0.453
2022-05
2026-11
FiLM — 0.414 (2022-05-18)
FiLM — 0.414 (2022-05-18)
DLinear — 0.405 (2022-05-26)
NLinear — 0.408 (2022-05-26)
DLinear — 0.405 (2022-05-26)
NLinear — 0.408 (2022-05-26)
PatchTST/64 — 0.413 (2022-11-27)
PatchTST/64 — 0.413 (2022-11-27)
TiDE — 0.412 (2023-04-17)
TiDE — 0.412 (2023-04-17)
RLinear — 0.404 (2023-05-18)
RLinear — 0.404 (2023-05-18)
SCNN — 0.379 (2023-05-22)
SCNN — 0.379 (2023-05-22)
TSMixer — 0.399 (2023-06-14)
TSMixer — 0.399 (2023-06-14)
SegRNN — 0.385 (2023-08-22)
SegRNN — 0.385 (2023-08-22)
PatchMixer — 0.373 (2023-10-01)
PatchMixer — 0.373 (2023-10-01)
MoLE-RLinear — 0.403 (2023-12-11)
MoLE-DLinear — 0.453 (2023-12-11)
MoLE-RLinear — 0.403 (2023-12-11)
MoLE-DLinear — 0.453 (2023-12-11)
TEFN — 0.433 (2024-05-10)
TEFN — 0.433 (2024-05-10)
PRformer — 0.397 (2024-08-20)
PRformer — 0.397 (2024-08-20)
LTBoost (drop_last=false) — 0.396 (2024-10-21)
LTBoost (drop_last=false) — 0.396 (2024-10-21)
DiPE-Linear — 0.407 (2024-11-26)
DiPE-Linear — 0.407 (2024-11-26)
xPatch — 0.376 (2024-12-23)
xPatch — 0.376 (2024-12-23)
FiLM — 0.414 (2022-05-18)
DLinear — 0.405 (2022-05-26)
RLinear — 0.404 (2023-05-18)
SCNN — 0.379 (2023-05-22)
PatchMixer — 0.373 (2023-10-01)
2022-05-18 — FiLM: MSE 0.414
2022-05-26 — DLinear: MSE 0.405
2023-05-18 — RLinear: MSE 0.404
2023-05-22 — SCNN: MSE 0.379
2023-10-01 — PatchMixer: MSE 0.373
Rank
Model
MSE
MAE
Paper
Code
Year
1
PatchMixer
0.373
0.394
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
Zeying-Gong/PatchMixer
·
hughxx/tsf-new-paper-taste
2023
2
xPatch
0.376
0.395
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
stitsyuk/xpatch
2024
3
SCNN
0.379
0.398
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
JLDeng/SCNN
2023
4
SegRNN
0.385
0.402
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
thuml/Time-Series-Library
·
WenjieDu/PyPOTS
·
lss-1138/SegRNN
·
+1
2023
5
LTBoost (drop_last=false)
0.396
0.406
LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting
hubtru/LTBoost
2024
6
PRformer
0.397
–
PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
usualheart/prformer
2024
7
TSMixer
0.399
0.418
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
ibm/tsfm
2023
8
MoLE-RLinear
0.403
–
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
rogerni/mole
2023
9
RLinear
0.404
0.412
Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
plumprc/rtsf
2023
10
DLinear
0.405
0.416
Are Transformers Effective for Time Series Forecasting?
cure-lab/DLinear
·
cure-lab/ltsf-linear
·
WenjieDu/PyPOTS
·
+7
2022
11
DiPE-Linear
0.407
–
Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
wintertee/dipe-linear
2024
12
NLinear
0.408
0.415
Are Transformers Effective for Time Series Forecasting?
cure-lab/DLinear
·
cure-lab/ltsf-linear
·
WenjieDu/PyPOTS
·
+7
2022
13
TiDE
0.412
0.422
Long-term Forecasting with TiDE: Time-series Dense Encoder
google-research/google-research
·
unit8co/darts
·
WenjieDu/PyPOTS
·
+2
2023
14
PatchTST/64
0.413
0.429
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
timeseriesAI/tsai
·
yuqinie98/patchtst
·
thuml/iTransformer
·
+5
2022
15
FiLM
0.414
0.423
FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
WenjieDu/PyPOTS
·
tianzhou2011/FiLM
·
damo-di-ml/neurips2022-film
2022
16
TEFN
0.433
0.419
Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
WenjieDu/PyPOTS
·
ztxtech/Time-Evidence-Fusion-Network
2024
17
MoLE-DLinear
0.453
–
Mixture-of-Linear-Experts for Long-term Time Series Forecasting
rogerni/mole
2023
18
PatchMixer
0.373
0.394
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
Zeying-Gong/PatchMixer
·
hughxx/tsf-new-paper-taste
2023
19
xPatch
0.376
0.395
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
stitsyuk/xpatch
2024
20
SCNN
0.379
0.398
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
JLDeng/SCNN
2023
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