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 12011250 of 1609 papers

TitleStatusHype
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
Exploring Patterns Behind Sports0
FAF: A Feature-Adaptive Framework for Few-Shot Time Series Forecasting0
Fairness Hub Technical Briefs: Definition and Detection of Distribution Shift0
Fairness in Forecasting and Learning Linear Dynamical Systems0
FAS-LLM: Large Language Model-Based Channel Prediction for OTFS-Enabled Satellite-FAS Links0
Faster than LASER -- Towards Stream Reasoning with Deep Neural Networks0
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing0
Feature Selection with Annealing for Forecasting Financial Time Series0
Few-shot Learning for Time-series Forecasting0
Filtered not Mixed: Stochastic Filtering-Based Online Gating for Mixture of Large Language Models0
Financial Time-Series Forecasting: Towards Synergizing Performance And Interpretability Within a Hybrid Machine Learning Approach0
Financial Time Series Forecasting using CNN and Transformer0
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-20190
FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics0
Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting0
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data0
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
FlightKooba: A Fast Interpretable FTP Model0
Flow Forecast: A deep learning for time series forecasting, classification, and anomaly detection framework built in PyTorch0
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting0
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework0
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting0
For2For: Learning to forecast from forecasts0
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks0
Forecasting and Analyzing the Military Expenditure of India Using Box-Jenkins ARIMA Model0
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts0
Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds0
Forecasting Emerging Trends from Scientific Literature0
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization0
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model0
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!0
Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm0
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)0
Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky0
Forecasting Short-term load using Econometrics time series model with T-student Distribution0
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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