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 601650 of 1609 papers

TitleStatusHype
Diffusion-Based Forecasting for Uncertainty-Aware Model Predictive Control0
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting0
DiffSTOCK: Probabilistic relational Stock Market Predictions using Diffusion Models0
Differential Convolutional Fuzzy Time Series Forecasting0
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture0
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout0
A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction0
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting0
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures0
DGCformer: Deep Graph Clustering Transformer for Multivariate Time Series Forecasting0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction0
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction0
The cost of ensembling: is it always worth combining?0
Deterministic Reservoir Computing for Chaotic Time Series Prediction0
Detecting Elevated Air Pollution Levels by Monitoring Web Search Queries: Deep Learning-Based Time Series Forecasting0
AutoTS: Automatic Time Series Forecasting Model Design Based on Two-Stage Pruning0
Characterizing the memory capacity of transmon qubit reservoirs0
Analytics of Business Time Series Using Machine Learning and Bayesian Inference0
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting0
Density estimation with LLMs: a geometric investigation of in-context learning trajectories0
Demand Forecasting of Individual Probability Density Functions with Machine Learning0
DeLELSTM: Decomposition-based Linear Explainable LSTM to Capture Instantaneous and Long-term Effects in Time Series0
Autoregressive Quantile Flows for Predictive Uncertainty Estimation0
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting0
Deep Video Prediction for Time Series Forecasting0
Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application0
Implicit Reasoning in Deep Time Series Forecasting0
Improved Genetic Algorithm Based on Greedy and Simulated Annealing Ideas for Vascular Robot Ordering Strategy0
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition0
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance0
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values0
Time Series Analysis and Modeling to Forecast: a Survey0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting0
Deep State Space Recurrent Neural Networks for Time Series Forecasting0
Deep State Space Models for Time Series Forecasting0
AutoPV: Automatically Design Your Photovoltaic Power Forecasting Model0
Deep Rao-Blackwellised Particle Filters for Time Series Forecasting0
Deep Probabilistic Time Series Forecasting using Augmented Recurrent Input for Dynamic Systems0
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties0
Automatic selection of the best neural architecture for time series forecasting via multi-objective optimization and Pareto optimality conditions0
An Adversarial Learning Approach to Irregular Time-Series Forecasting0
Deep Non-Parametric Time Series Forecaster0
VLSTM: Very Long Short-Term Memory Networks for High-Frequency Trading0
Automatic Forecasting via Meta-Learning0
HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting0
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL0
Show:102550
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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