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
FDNet: Focal Decomposed Network for Efficient, Robust and Practical Time Series ForecastingCode1
Self-Supervised Learning for Time Series Analysis: Taxonomy, Progress, and ProspectsCode2
Deep Learning for Energy Time-Series Analysis and Forecasting0
TSMixer: Lightweight MLP-Mixer Model for Multivariate Time Series ForecastingCode2
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series ForecastingCode0
Robustness and Generalization Performance of Deep Learning Models on Cyber-Physical Systems: A Comparative StudyCode0
Making forecasting self-learning and adaptive -- Pilot forecasting rack0
MPPN: Multi-Resolution Periodic Pattern Network For Long-Term Time Series Forecasting0
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal BootstrappingCode1
Predictive Modeling of Menstrual Cycle Length: A Time Series Forecasting ApproachCode1
QBSD: Quartile-Based Seasonality Decomposition for Cost-Effective RAN KPI ForecastingCode0
Long term 5G network traffic forecasting via modeling non-stationarity with deep learningCode1
Non-parametric Probabilistic Time Series Forecasting via Innovations Representation0
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting0
PHILNet: A Novel Efficient Approach for Time Series Forecasting using Deep LearningCode0
Improving day-ahead Solar Irradiance Time Series Forecasting by Leveraging Spatio-Temporal ContextCode1
An End-to-End Time Series Model for Simultaneous Imputation and Forecast0
Learning Gaussian Mixture Representations for Tensor Time Series ForecastingCode1
EAMDrift: An interpretable self retrain model for time series0
Client: Cross-variable Linear Integrated Enhanced Transformer for Multivariate Long-Term Time Series ForecastingCode1
Graph-based Time Series Clustering for End-to-End Hierarchical ForecastingCode1
PyPOTS: A Python Toolbox for Data Mining on Partially-Observed Time SeriesCode2
Graph-based Multi-ODE Neural Networks for Spatio-Temporal Traffic ForecastingCode1
A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature ForecastingCode0
Adaptive Sparsity Level during Training for Efficient Time Series Forecasting with TransformersCode0
Better Batch for Deep Probabilistic Time Series ForecastingCode0
Theoretical Guarantees of Learning Ensembling Strategies with Applications to Time Series Forecasting0
TLNets: Transformation Learning Networks for long-range time-series prediction0
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting0
Feature-aligned N-BEATS with Sinkhorn divergenceCode0
A Joint Time-frequency Domain Transformer for Multivariate Time Series ForecastingCode1
Disentangling Structured Components: Towards Adaptive, Interpretable and Scalable Time Series ForecastingCode1
Limited Resource Allocation in a Non-Markovian World: The Case of Maternal and Child Healthcare0
CARD: Channel Aligned Robust Blend Transformer for Time Series ForecastingCode1
Revisiting Long-term Time Series Forecasting: An Investigation on Linear MappingCode1
Short-Term Electricity Load Forecasting Using the Temporal Fusion Transformer: Effect of Grid Hierarchies and Data Sources0
pTSE: A Multi-model Ensemble Method for Probabilistic Time Series Forecasting0
Differential Convolutional Fuzzy Time Series Forecasting0
HiPerformer: Hierarchically Permutation-Equivariant Transformer for Time Series Forecasting0
A Generic Approach to Integrating Time into Spatial-Temporal Forecasting via Conditional Neural Fields0
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?0
Explainable Parallel RCNN with Novel Feature Representation for Time Series ForecastingCode0
Mlinear: Rethink the Linear Model for Time-series Forecasting0
Sequential Latent Variable Models for Few-Shot High-Dimensional Time-Series ForecastingCode1
Joint Graph Learning and Model Fitting in Laplacian Regularized Stratified ModelsCode0
Forecast reconciliation for vaccine supply chain optimization0
Expanding the Prediction Capacity in Long Sequence Time-Series Forecasting0
Diffusion Models for Time Series Applications: A Survey0
Deep learning models for price forecasting of financial time series: A review of recent advancements: 2020-20220
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step 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