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Time Series Forecasting On Etth2 192 1

Metrics

MSE

Results

Performance results of various models on this benchmark

Model Name	MSE	Paper Title	Repository
MoLE-RLinear	0.336	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
xPatch	0.275	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
PRformer	0.332	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
DLinear	0.383	Are Transformers Effective for Time Series Forecasting?
TEFN	0.375	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting	-
TiDE	0.332	Long-term Forecasting with TiDE: Time-series Dense Encoder
DiPE-Linear	0.325	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
FiLM	0.357	FiLM: Frequency improved Legendre Memory Model for Long-term Time Series Forecasting
SegRNN	0.321	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
TSMixer	0.33	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting	-
PatchMixer	0.274	PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series Forecasting
MoLE-DLinear	0.362	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
NLinear	0.344	Are Transformers Effective for Time Series Forecasting?
RLinear	0.319	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
PatchTST/64	0.341	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
LTBoost (drop_last=false)	0.332	LTBoost: Boosted Hybrids of Ensemble Linear and Gradient Algorithms for the Long-term Time Series Forecasting

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