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 10511100 of 1609 papers

TitleStatusHype
Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data0
Deep Optimal Timing Strategies for Time SeriesCode0
Performative Time-Series ForecastingCode0
Prompting-based Temporal Domain Generalization0
Perceiver-based CDF Modeling for Time Series Forecasting0
Modality-aware Transformer for Financial Time series Forecasting0
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep LearningCode0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting0
Revealing the Power of Masked Autoencoders in Traffic ForecastingCode0
Enhancing Prediction and Analysis of UK Road Traffic Accident Severity Using AI: Integration of Machine Learning, Econometric Techniques, and Time Series Forecasting in Public Health Research0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data0
Time-Series Forecasting: Unleashing Long-Term Dependencies with Fractionally Differenced Data0
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
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network0
Global Neural Networks and The Data Scaling Effect in Financial Time Series ForecastingCode0
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
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
Probabilistic load forecasting with Reservoir Computing0
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting0
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 20090
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
HUTFormer: Hierarchical U-Net Transformer for Long-Term Traffic Forecasting0
Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities0
Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoins0
MPR-Net:Multi-Scale Pattern Reproduction Guided Universality Time Series Interpretable Forecasting0
GEANN: Scalable Graph Augmentations for Multi-Horizon Time Series Forecasting0
Fourier-Mixed Window Attention: Accelerating Informer for Long Sequence Time-Series ForecastingCode0
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation0
Alternative Telescopic Displacement: An Efficient Multimodal Alignment MethodCode0
Learning Dynamic Graphs from All Contextual Information for Accurate Point-of-Interest Visit ForecastingCode0
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
Deep Learning for Energy Time-Series Analysis and Forecasting0
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series ForecastingCode0
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative StudyCode0
Making forecasting self-learning and adaptive -- Pilot forecasting rack0
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting0
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI ForecastingCode0
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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