Time Series Forecasting On Etth1 720 1

评估指标

MAE

MSE

评测结果

各个模型在此基准测试上的表现结果

			Paper Title	Repository
QuerySelector	0.8428	1.115	Long-term series forecasting with Query Selector -- efficient model of sparse attention
Transformer	0.8399	1.108	Long-term series forecasting with Query Selector -- efficient model of sparse attention
Informer	0.768	0.941	Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
GLinear	0.5373	0.5923	-	-
SCINet	0.527	0.544	SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction
MoLE-DLinear	-	0.505	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PRformer	-	0.489	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
TEFN	0.464	0.475	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
DLinear	0.49	0.472	Are Transformers Effective for Time Series Forecasting?
FiLM	0.472	0.465	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
TiDE	0.465	0.454	Long-term Forecasting with TiDE: Time-series Dense Encoder
MoLE-RLinear	-	0.449	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PatchTST/64	0.468	0.447	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
PatchMixer	0.463	0.445	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
TSMixer	0.467	0.444	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
RLinear	0.456	0.442	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
xPatch	0.459	0.442	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
NLinear	0.453	0.44	Are Transformers Effective for Time Series Forecasting?
LTBoost (drop_last=false)	0.449	0.435	LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting	-
SegRNN	0.447	0.434	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting

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