HyperAI超神经

Time Series Forecasting On Electricity 96

评估指标

MSE

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
TEFN	0.197	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
DLinear	0.14	Are Transformers Effective for Time Series Forecasting?
DiPE-Linear	0.132	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
GLinear	0.1313	-
MoLE-DLinear	0.131	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
TSMixer	0.129	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
PatchTST/64	0.129	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
MoLE-RMLP	0.129	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PRformer	0.127	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
CycleNet	0.126	CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
xPatch	0.126	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

0 of 11 row(s) selected.

HyperAI超神经

Time Series Forecasting On Electricity 96

评估指标

MSE

评测结果

各个模型在此基准测试上的表现结果

		Paper Title
TEFN	0.197	Time Evidence Fusion Network: Multi-source View in Long-Term Time Series Forecasting
DLinear	0.14	Are Transformers Effective for Time Series Forecasting?
DiPE-Linear	0.132	Disentangled Interpretable Representation for Efficient Long-term Time Series Forecasting
GLinear	0.1313	-
MoLE-DLinear	0.131	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
TSMixer	0.129	TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series Forecasting
PatchTST/64	0.129	A Time Series is Worth 64 Words: Long-term Forecasting with Transformers
MoLE-RMLP	0.129	Mixture-of-Linear-Experts for Long-term Time Series Forecasting
PRformer	0.127	PRformer: Pyramidal Recurrent Transformer for Multivariate Time Series Forecasting
CycleNet	0.126	CycleNet: Enhancing Time Series Forecasting through Modeling Periodic Patterns
xPatch	0.126	xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition

0 of 11 row(s) selected.

Time Series Forecasting On Electricity 96 | SOTA | HyperAI超神经