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 451500 of 1609 papers

TitleStatusHype
Graph Neural Controlled Differential Equations for Traffic ForecastingCode1
First De-Trend then Attend: Rethinking Attention for Time-Series ForecastingCode1
TSMixer: An All-MLP Architecture for Time Series ForecastingCode1
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal NarrativeCode1
Modeling Long- and Short-Term Temporal Patterns with Deep Neural NetworksCode1
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction0
A novel stochastic model based on echo state networks for hydrological time series forecasting0
Forecasting Cardiology Admissions from Catheterization Laboratory0
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting0
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 20090
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks0
Can time series forecasting be automated? A benchmark and analysis0
A novel method of fuzzy time series forecasting based on interval index number and membership value using support vector machine0
A federated large language model for long-term time series forecasting0
Enhancing Multivariate Time Series Forecasting with Mutual Information-driven Cross-Variable and Temporal Modeling0
Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting0
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts0
Can LLMs Serve As Time Series Anomaly Detectors?0
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?0
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices0
Enhancing Financial Time-Series Forecasting with Retrieval-Augmented Large Language Models0
Enhancing Financial Data Visualization for Investment Decision-Making0
Enhancing Asynchronous Time Series Forecasting with Contrastive Relational Inference0
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM0
Byte Pair Encoding for Efficient Time Series Forecasting0
Enhancing Bagging Ensemble Regression with Data Integration for Time Series-Based Diabetes Prediction0
A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information0
Enhanced Prediction Model for Time Series Characterized by GARCH via Interval Type-2 Fuzzy Inference System0
Enforcing Interpretability in Time Series Transformers: A Concept Bottleneck Framework0
Energy time series forecasting-Analytical and empirical assessment of conventional and machine learning models0
Energy Price Modelling: A Comparative Evaluation of four Generations of Forecasting Methods0
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks0
Forecasting and Analyzing the Military Expenditure of India Using Box-Jenkins ARIMA Model0
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding0
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting0
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts0
Energy consumption forecasting using a stacked nonparametric Bayesian approach0
End-to-End Probabilistic Framework for Learning with Hard Constraints0
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
Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon0
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
Can Local Representation Alignment RNNs Solve Temporal Tasks?0
Encoding Temporal Statistical-space Priors via Augmented Representation0
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching0
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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