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 901950 of 1609 papers

TitleStatusHype
Efficient Deterministic Renewable Energy Forecasting Guided by Multiple-Location Weather Data0
Efficient Model Selection for Time Series Forecasting via LLMs0
Efficient Time Series Forecasting via Hyper-Complex Models and Frequency Aggregation0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems0
EF-LLM: Energy Forecasting LLM with AI-assisted Automation, Enhanced Sparse Prediction, Hallucination Detection0
Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting0
Emerging Statistical Machine Learning Techniques for Extreme Temperature Forecasting in U.S. Cities0
Emotion-Inspired Deep Structure (EiDS) for EEG Time Series Forecasting0
Empirical analysis of daily cash flow time series and its implications for forecasting0
Language Model Empowered Spatio-Temporal Forecasting via Physics-Aware Reprogramming0
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning0
Encoding Seasonal Climate Predictions for Demand Forecasting with Modular Neural Network0
Encoding Temporal Statistical-space Priors via Augmented Representation0
End-to-End Probabilistic Framework for Learning with Hard Constraints0
Energy consumption forecasting using a stacked nonparametric Bayesian approach0
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods0
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models0
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework0
Enhanced Prediction Model for Time Series Characterized by GARCH via Interval Type-2 Fuzzy Inference System0
Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction0
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference0
Enhancing Financial Data Visualization for Investment Decision-Making0
Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models0
Enhancing Forecasting Accuracy in Dynamic Environments via PELT-Driven Drift Detection and Model Adaptation0
Enhancing Foundation Models for Time Series Forecasting via Wavelet-based Tokenization0
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment0
Enhancing Multi-Step Brent Oil Price Forecasting with Ensemble Multi-Scenario Bi-GRU Networks0
Multistep Brent Oil Price Forecasting with a Multi-Aspect Meta-heuristic Optimization and Ensemble Deep Learning Model0
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling0
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
Enhancing Project Performance Forecasting using Machine Learning Techniques0
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers0
Enhancing Time Series Forecasting via Logic-Inspired Regularization0
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting0
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting0
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study0
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks0
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning0
Evaluation of Local Explanation Methods for Multivariate Time Series Forecasting0
Evaluation of Time Series Forecasting Models for Estimation of PM2.5 Levels in Air0
Towards Automatic Forecasting: Evaluation of Time-Series Forecasting Models for Chickenpox Cases Estimation in Hungary0
EvoSTS Forecasting: Evolutionary Sparse Time-Series Forecasting0
Examining the Impact of Income Inequality and Gender on School Completion in Malaysia: A Machine Learning Approach Utilizing Malaysia's Public Sector Open Data0
Expanding the Prediction Capacity in Long Sequence Time-Series Forecasting0
Expert Aggregation for Financial Forecasting0
Explainable Adaptive Tree-based Model Selection for Time Series Forecasting0
Explainable boosted linear regression for time series forecasting0
Explaining the Success of Nearest Neighbor Methods in Prediction0
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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