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
Benchmarking Pre-Trained Time Series Models for Electricity Price Forecasting0
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering0
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model0
A CNN–LSTM model for gold price time-series forecasting0
A Compact Model for Large-Scale Time Series Forecasting0
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment0
A Comprehensive Survey of Time Series Forecasting: Architectural Diversity and Open Challenges0
AdaPRL: Adaptive Pairwise Regression Learning with Uncertainty Estimation for Universal Regression Tasks0
Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting0
Adaptive Conformal Inference for Multi-Step Ahead Time-Series Forecasting Online0
Adaptive Convolutional Forecasting Network Based on Time Series Feature-Driven0
Adaptive Forecasting of Non-Stationary Nonlinear Time Series Based on the Evolving Weighted Neuro-Neo-Fuzzy-ANARX-Model0
Adaptive Graph Convolutional Network Framework for Multidimensional Time Series Prediction0
Adaptive parameters identification for nonlinear dynamics using deep permutation invariant networks0
Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection0
Adaptive time series forecasting with markovian variance switching0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction0
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques0
Addressing Distribution Shift in Time Series Forecasting with Instance Normalization Flows0
Deconfounding Multi-Cause Latent Confounders: A Factor-Model Approach to Climate Model Bias Correction0
A Deep-Unfolding Approach to RIS Phase Shift Optimization Via Transformer-Based Channel Prediction0
A Differential Attention Fusion Model Based on Transformer for Time Series Forecasting0
A Distance Correlation-Based Approach to Characterize the Effectiveness of Recurrent Neural Networks for Time Series Forecasting0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care0
Advancing Long-Term Multi-Energy Load Forecasting with Patchformer: A Patch and Transformer-Based Approach0
Adversarial attacks against Bayesian forecasting dynamic models0
Adversarial Attacks and Defenses in Multivariate Time-Series Forecasting for Smart and Connected Infrastructures0
A federated large language model for long-term time series forecasting0
A Forecaster's Review of Judea Pearl's Causality: Models, Reasoning and Inference, Second Edition, 20090
A generalized financial time series forecasting model based on automatic feature engineering using genetic algorithms and support vector machine0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields0
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories0
A Graph Neural Networks based Framework for Topology-Aware Proactive SLA Management in a Latency Critical NFV Application Use-case0
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction0
A Hybrid Loss Framework for Decomposition-based Time Series Forecasting Methods: Balancing Global and Component Errors0
A Hypothesis on Good Practices for AI-based Systems for Financial Time Series Forecasting: Towards Domain-Driven XAI Methods0
AI-Based Demand Forecasting and Load Balancing for Optimising Energy use in Healthcare Systems: A real case study0
AI Modelling and Time-series Forecasting Systems for Trading Energy Flexibility in Distribution Grids0
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting0
A Language Model-Guided Framework for Mining Time Series with Distributional Shifts0
A machine learning approach for forecasting hierarchical time series0
A Machine Learning-Ready Data Processing Tool for Near Real-Time Forecasting0
A Mamba Foundation Model for Time Series Forecasting0
A Multilateral Attention-enhanced Deep Neural Network for Disease Outbreak Forecasting: A Case Study on COVID-190
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting0
A Multi-scenario Attention-based Generative Model for Personalized Blood Pressure Time Series Forecasting0
An Accurate Smartphone Battery Parameter Calibration Using Unscented Kalman Filter0
An Adversarial Learning Approach to Irregular Time-Series Forecasting0
Analysing Multi-Task Regression via Random Matrix Theory with Application to Time Series Forecasting0
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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