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 151200 of 1609 papers

TitleStatusHype
DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution NetworksCode1
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control0
HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction0
Theoretical Foundation of Flow-Based Time Series Generation: Provable Approximation, Generalization, and Efficiency0
Augmented Invertible Koopman Autoencoder for long-term time series forecastingCode0
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study0
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables0
Hierarchical Information-Guided Spatio-Temporal Mamba for Stock Time Series Forecasting0
Towards Efficient Large Scale Spatial-Temporal Time Series Forecasting via Improved Inverted Transformers0
Mamba time series forecasting with uncertainty quantificationCode1
Deep Learning for Time Series Forecasting: A Survey0
Minimal Time Series TransformerCode0
LLM-PS: Empowering Large Language Models for Time Series Forecasting with Temporal Patterns and Semantics0
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization0
MFRS: A Multi-Frequency Reference Series Approach to Scalable and Accurate Time-Series ForecastingCode0
Data Driven Decision Making with Time Series and Spatio-temporal Data0
Enhancing Time Series Forecasting via Logic-Inspired Regularization0
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models0
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature0
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM0
TS-RAG: Retrieval-Augmented Generation based Time Series Foundation Models are Stronger Zero-Shot Forecaster0
TimeFound: A Foundation Model for Time Series Forecasting0
Hedging with Sparse Reward Reinforcement Learning0
Small but Mighty: Enhancing Time Series Forecasting with Lightweight LLMsCode1
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series0
Lightweight Channel-wise Dynamic Fusion Model: Non-stationary Time Series Forecasting via Entropy Analysis0
ZAPBench: A Benchmark for Whole-Brain Activity Prediction in ZebrafishCode2
SeqFusion: Sequential Fusion of Pre-Trained Models for Zero-Shot Time-Series ForecastingCode1
Unify and Anchor: A Context-Aware Transformer for Cross-Domain Time Series Forecasting0
Patch-wise Structural Loss for Time Series ForecastingCode2
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion ModelsCode1
A Compact Model for Large-Scale Time Series Forecasting0
Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and InsightsCode0
PFformer: A Position-Free Transformer Variant for Extreme-Adaptive Multivariate Time Series Forecasting0
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation0
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series ForecastingCode2
TSKANMixer: Kolmogorov-Arnold Networks with MLP-Mixer Model for Time Series Forecasting0
A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction0
ReFocus: Reinforcing Mid-Frequency and Key-Frequency Modeling for Multivariate Time Series ForecastingCode1
Time series forecasting based on optimized LLM for fault prediction in distribution power grid insulators0
Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach0
TimePFN: Effective Multivariate Time Series Forecasting with Synthetic DataCode1
Beyond Fixed Variables: Expanding-variate Time Series Forecasting via Flat Scheme and Spatio-temporal Focal Learning0
Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile0
Explaining the Success of Nearest Neighbor Methods in Prediction0
CoRe: Coherency Regularization for Hierarchical Time Series0
A Supervised Screening and Regularized Factor-Based Method for Time Series Forecasting0
TimeDistill: Efficient Long-Term Time Series Forecasting with MLP via Cross-Architecture Distillation0
Not All Data are Good Labels: On the Self-supervised Labeling for Time Series Forecasting0
Position: There are no Champions in Long-Term Time Series Forecasting0
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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
4MoLE-DLinearMSE0.61Unverified
5DLinearMSE0.61Unverified
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
8LTBoost (drop_last=false)MSE0.33Unverified
9PRformerMSE0.33Unverified
10TiDEMSE0.33Unverified
#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
3MoLE-RLinearMSE0.38Unverified
4TiDEMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified