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Time Series Forecasting On Weather 192

Métriques

MAE

MSE

Résultats

Résultats de performance de divers modèles sur ce benchmark

Nom du modèle	MAE	MSE	Paper Title	Repository
SegRNN	0.227	0.186	SegRNN: Segment Recurrent Neural Network for Long-Term Time Series Forecasting
TSMixer	0.240	0.191	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
RLinear	0.26	0.218	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
PRformer	-	0.188	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
DiPE-Linear	-	0.187	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
PatchTST/64	-	0.194	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
SCNN	-	0.188	Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series Forecasting
xPatch	0.227	0.189	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition
DLinear	-	0.22	Are Transformers Effective for Time Series Forecasting?
MoLE-DLinear	-	0.203	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
RLinear-CI	-	0.189	Revisiting Long-term Time Series Forecasting: An Investigation on Linear Mapping
MoLE-RMLP	-	0.19	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
TEFN	0.262	0.227	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting

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