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Time Series Forecasting On Weather 192

Metriken

MAE

MSE

Ergebnisse

Leistungsergebnisse verschiedener Modelle zu diesem Benchmark

Modellname	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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