SOTAVerified

Time Series Forecasting

Time Series Forecasting is the task of fitting a model to historical, time-stamped data in order to predict future values. Traditional approaches include moving average, exponential smoothing, and ARIMA, though models as various as RNNs, Transformers, or XGBoost can also be applied. The most popular benchmark is the ETTh1 dataset. Models are typically evaluated using the Mean Square Error (MSE) or Root Mean Square Error (RMSE).

( Image credit: ThaiBinh Nguyen )

Papers

Showing 251300 of 1609 papers

TitleStatusHype
Attractor Memory for Long-Term Time Series Forecasting: A Chaos PerspectiveCode1
Time Series Forecasting with LLMs: Understanding and Enhancing Model CapabilitiesCode1
Bellman Conformal Inference: Calibrating Prediction Intervals For Time SeriesCode1
RobustTSF: Towards Theory and Design of Robust Time Series Forecasting with AnomaliesCode1
Root Cause Analysis In Microservice Using Neural Granger Causal DiscoveryCode1
Multivariate Probabilistic Time Series Forecasting with Correlated ErrorsCode1
A Cross-View Hierarchical Graph Learning Hypernetwork for Skill Demand-Supply Joint PredictionCode1
MSHyper: Multi-Scale Hypergraph Transformer for Long-Range Time Series ForecastingCode1
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process Download PDFCode1
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series ForecastingCode1
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecastingCode1
FCDNet: Frequency-Guided Complementary Dependency Modeling for Multivariate Time-Series ForecastingCode1
Learning to Embed Time Series Patches IndependentlyCode1
Learning from Polar Representation: An Extreme-Adaptive Model for Long-Term Time Series ForecastingCode1
auto-sktime: Automated Time Series ForecastingCode1
Mixture-of-Linear-Experts for Long-term Time Series ForecastingCode1
Take an Irregular Route: Enhance the Decoder of Time-Series Forecasting TransformerCode1
TimeDRL: Disentangled Representation Learning for Multivariate Time-SeriesCode1
Rethinking Urban Mobility Prediction: A Super-Multivariate Time Series Forecasting ApproachCode1
Understanding the Role of Textual Prompts in LLM for Time Series Forecasting: an Adapter ViewCode1
Multi-resolution Time-Series Transformer for Long-term ForecastingCode1
ForecastPFN: Synthetically-Trained Zero-Shot ForecastingCode1
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable BasisCode1
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution ShiftCode1
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingCode1
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode1
Counterfactual Explanations for Time Series ForecastingCode1
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps DomainCode1
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series ForecastingCode1
Unified Long-Term Time-Series Forecasting BenchmarkCode1
MemDA: Forecasting Urban Time Series with Memory-based Drift AdaptationCode1
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online EnsemblingCode1
Transformers versus LSTMs for electronic tradingCode1
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series ForecastingCode1
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional NetworkCode1
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series ForecastingCode1
Multi-scale Transformer Pyramid Networks for Multivariate Time Series ForecastingCode1
LLM4TS: Aligning Pre-Trained LLMs as Data-Efficient Time-Series ForecastersCode1
Multi-horizon short-term load forecasting using hybrid of LSTM and modified split convolutionCode1
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerCode1
TimeGNN: Temporal Dynamic Graph Learning for Time Series ForecastingCode1
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsCode1
GBT: Two-stage transformer framework for non-stationary time series forecastingCode1
Benchmarks and Custom Package for Energy ForecastingCode1
Unlocking the Potential of Deep Learning in Peak-Hour Series ForecastingCode1
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series ForecastingCode1
Sparsity exploitation via discovering graphical models in multi-variate time-series forecastingCode1
PrimeNet: Pre-Training for Irregular Multivariate Time SeriesCode1
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingCode1
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal BootstrappingCode1
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InformerMSE0.88Unverified
2QuerySelectorMSE0.85Unverified
3TransformerMSE0.83Unverified
4AarenMSE0.65Unverified
5RPMixerMSE0.52Unverified
6MOIRAILargeMSE0.51Unverified
7ATFNetMSE0.51Unverified
8AutoformerMSE0.51Unverified
9SCINetMSE0.5Unverified
10S-MambaMSE0.49Unverified
#ModelMetricClaimedVerifiedStatus
1QuerySelectorMSE1.12Unverified
2TransformerMSE1.11Unverified
3InformerMSE0.94Unverified
4GLinearMSE0.59Unverified
5SCINetMSE0.54Unverified
6MoLE-DLinearMSE0.51Unverified
7PRformerMSE0.49Unverified
8TEFNMSE0.48Unverified
9DLinearMSE0.47Unverified
10FiLMMSE0.47Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE2.66Unverified
2QuerySelectorMSE2.32Unverified
3InformerMSE1.67Unverified
4DLinearMSE0.45Unverified
5TEFNMSE0.42Unverified
6MoLE-DLinearMSE0.42Unverified
7FiLMMSE0.38Unverified
8MoLE-RLinearMSE0.37Unverified
9SCINetMSE0.37Unverified
10PRformerMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE3.18Unverified
2QuerySelectorMSE3.07Unverified
3InformerMSE2.34Unverified
4DLinearMSE0.61Unverified
5MoLE-DLinearMSE0.61Unverified
6SCINetMSE0.48Unverified
7FiLMMSE0.44Unverified
8TEFNMSE0.43Unverified
9TiDEMSE0.42Unverified
10MoLE-RLinearMSE0.41Unverified
#ModelMetricClaimedVerifiedStatus
1MoLE-DLinearMSE0.45Unverified
2TEFNMSE0.43Unverified
3FiLMMSE0.41Unverified
4PatchTST/64MSE0.41Unverified
5TiDEMSE0.41Unverified
6NLinearMSE0.41Unverified
7DiPE-LinearMSE0.41Unverified
8DLinearMSE0.41Unverified
9RLinearMSE0.4Unverified
10MoLE-RLinearMSE0.4Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.38Unverified
2TEFNMSE0.38Unverified
3MoLE-DLinearMSE0.36Unverified
4FiLMMSE0.36Unverified
5NLinearMSE0.34Unverified
6PatchTST/64MSE0.34Unverified
7MoLE-RLinearMSE0.34Unverified
8TiDEMSE0.33Unverified
9LTBoost (drop_last=false)MSE0.33Unverified
10PRformerMSE0.33Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.29Unverified
2TEFNMSE0.29Unverified
3MoLE-DLinearMSE0.29Unverified
4FiLMMSE0.28Unverified
5NLinearMSE0.28Unverified
6TSMixerMSE0.28Unverified
7DiPE-LinearMSE0.28Unverified
8PatchTST/64MSE0.27Unverified
9MoLE-RLinearMSE0.27Unverified
10TiDEMSE0.27Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.38Unverified
2MoLE-DLinearMSE0.38Unverified
3TiDEMSE0.38Unverified
4MoLE-RLinearMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified