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 851900 of 1609 papers

TitleStatusHype
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application0
PDRL: Multi-Agent based Reinforcement Learning for Predictive Monitoring0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence0
Quantitative Analysis of Forecasting Models:In the Aspect of Online Political Bias0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network0
Communication-Efficient Design of Learning System for Energy Demand Forecasting of Electrical VehiclesCode0
Rail Crack Propagation Forecasting Using Multi-horizons RNNs0
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?0
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional NetworkCode1
MadSGM: Multivariate Anomaly Detection with Score-based Generative Models0
Hierarchical Time Series Forecasting with Bayesian Modeling0
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series0
TFDNet: Time-Frequency Enhanced Decomposed Network for Long-term Time Series ForecastingCode1
Probabilistic load forecasting with Reservoir Computing0
Multi-scale Transformer Pyramid Networks for Multivariate Time Series ForecastingCode1
SegRNN: Segment Recurrent Neural Network for Long-Term Time Series ForecastingCode6
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
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting0
AutoGluon-TimeSeries: AutoML for Probabilistic Time Series ForecastingCode6
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 20090
PETformer: Long-term Time Series Forecasting via Placeholder-enhanced TransformerCode1
DeepTSF: Codeless machine learning operations for time series forecastingCode0
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting0
TimeGNN: Temporal Dynamic Graph Learning for Time Series ForecastingCode1
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting0
Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities0
Predict, Refine, Synthesize: Self-Guiding Diffusion Models for Probabilistic Time Series ForecastingCode2
TimeTuner: Diagnosing Time Representations for Time-Series Forecasting with Counterfactual ExplanationsCode1
Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoins0
GBT: Two-stage transformer framework for non-stationary time series forecastingCode1
Benchmarks and Custom Package for Energy ForecastingCode1
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting0
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly DetectionCode2
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting0
FITS: Modeling Time Series with 10k ParametersCode2
SageFormer: Series-Aware Framework for Long-term Multivariate Time Series ForecastingCode1
Unlocking the Potential of Deep Learning in Peak-Hour Series ForecastingCode1
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series ForecastingCode0
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation0
Sparsity exploitation via discovering graphical models in multi-variate time-series forecastingCode1
Alternative Telescopic Displacement: An Efficient Multimodal Alignment MethodCode0
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit ForecastingCode0
PrimeNet: Pre-Training for Irregular Multivariate Time SeriesCode1
Comparative Study of Predicting Stock Index Using Deep Learning Models0
What Constitutes Good Contrastive Learning in Time-Series Forecasting?Code0
G-NM: A Group of Numerical Time Series Prediction Models0
Temporal Data Meets LLM -- Explainable Financial 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