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 801850 of 1609 papers

TitleStatusHype
WinNet: Make Only One Convolutional Layer Effective for Time Series ForecastingCode0
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable BasisCode1
AutoMixer for Improved Multivariate Time-Series Forecasting on Business and IT Observability Data0
A Systematic Review for Transformer-based Long-term Series Forecasting0
Progressive Neural Network for Multi-Horizon Time Series ForecastingCode0
AMLNet: Adversarial Mutual Learning Neural Network for Non-AutoRegressive Multi-Horizon Time Series ForecastingCode0
Hierarchical Ensemble-Based Feature Selection for Time Series Forecasting0
Quantum Long Short-Term Memory (QLSTM) vs Classical LSTM in Time Series Forecasting: A Comparative Study in Solar Power Forecasting0
Stock Market Directional Bias Prediction Using ML Algorithms0
Attention-Based Ensemble Pooling for Time Series ForecastingCode0
Grid Frequency Forecasting in University Campuses using Convolutional LSTM0
Graph Deep Learning for Time Series Forecasting0
Calibration of Time-Series Forecasting: Detecting and Adapting Context-Driven Distribution ShiftCode1
Pyramidal Hidden Markov Model For Multivariate Time Series Forecasting0
Is Channel Independent strategy optimal for Time Series Forecasting?0
Large Language Model Prediction Capabilities: Evidence from a Real-World Forecasting Tournament0
When Rigidity Hurts: Soft Consistency Regularization for Probabilistic Hierarchical Time Series ForecastingCode1
XRMDN: An Extended Recurrent Mixture Density Network for Short-Term Probabilistic Rider Demand Forecasting with High Volatility0
UniTime: A Language-Empowered Unified Model for Cross-Domain Time Series ForecastingCode1
A decoder-only foundation model for time-series forecastingCode6
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning0
A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information0
Lag-Llama: Towards Foundation Models for Probabilistic Time Series ForecastingCode3
Counterfactual Explanations for Time Series ForecastingCode1
Large Language Models Are Zero-Shot Time Series ForecastersCode2
Quantum-Enhanced Forecasting: Leveraging Quantum Gramian Angular Field and CNNs for Stock Return Predictions0
ProbTS: Benchmarking Point and Distributional Forecasting across Diverse Prediction HorizonsCode2
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data0
iTransformer: Inverted Transformers Are Effective for Time Series ForecastingCode6
Performative Time-Series ForecastingCode0
Exploring Progress in Multivariate Time Series Forecasting: Comprehensive Benchmarking and Heterogeneity AnalysisCode3
Deep Optimal Timing Strategies for Time SeriesCode0
TEMPO: Prompt-based Generative Pre-trained Transformer for Time Series ForecastingCode1
Pushing the Limits of Pre-training for Time Series Forecasting in the CloudOps DomainCode1
Prompting-based Temporal Domain Generalization0
Time-LLM: Time Series Forecasting by Reprogramming Large Language ModelsCode4
Perceiver-based CDF Modeling for Time Series Forecasting0
Modality-aware Transformer for Financial Time series Forecasting0
Embedded Temporal Feature Selection for Time Series Forecasting Using Deep LearningCode0
PatchMixer: A Patch-Mixing Architecture for Long-Term Time Series ForecastingCode2
Unified Long-Term Time-Series Forecasting BenchmarkCode1
Balancing Computational Efficiency and Forecast Error in Machine Learning-based Time-Series Forecasting: Insights from Live Experiments on Meteorological Nowcasting0
Revealing the Power of Masked Autoencoders in Traffic ForecastingCode0
MemDA: Forecasting Urban Time Series with Memory-based Drift AdaptationCode1
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
Time-Series Forecasting: Unleashing Long-Term Dependencies with Fractionally Differenced Data0
Monotonic Neural Ordinary Differential Equation: Time-series Forecasting for Cumulative Data0
OneNet: Enhancing Time Series Forecasting Models under Concept Drift by Online EnsemblingCode1
Transformers versus LSTMs for electronic tradingCode1
WFTNet: Exploiting Global and Local Periodicity in Long-term Time Series ForecastingCode1
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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