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

Recently Added Most Hyped Most Active Needs Verification Most Verified

Showing 701–725 of 1609 papers

Title	Date	Tasks	Status	Score
Channel-aware Contrastive Conditional Diffusion for Multivariate Probabilistic Time Series Forecasting	Oct 3, 2024	Contrastive LearningDenoising	CodeCode Available	5
Examining COVID-19 Forecasting using Spatio-Temporal Graph Neural Networks	Jul 6, 2020	Graph Neural NetworkTime Series	CodeCode Available	5
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting	Mar 31, 2025	Anomaly DetectionMultivariate Time Series Forecasting	CodeCode Available	5
EVARS-GPR: EVent-triggered Augmented Refitting of Gaussian Process Regression for Seasonal Data	Jul 6, 2021	Change Point DetectionData Augmentation	CodeCode Available	5
Introducing Spectral Attention for Long-Range Dependency in Time Series Forecasting	Oct 28, 2024	Time SeriesTime Series Forecasting	CodeCode Available	5
If You Like It, GAN It. Probabilistic Multivariate Times Series Forecast With GAN	May 3, 2020	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	CodeCode Available	5
Evaluating time series forecasting models: An empirical study on performance estimation methods	May 28, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Evaluating the effectiveness of predicting covariates in LSTM Networks for Time Series Forecasting	Apr 29, 2024	Time SeriesTime Series Forecasting	CodeCode Available	5
Anticipating dengue outbreaks using a novel hybrid ARIMA-ARNN model with exogenous variables	Dec 23, 2023	Time SeriesTime Series Forecasting	CodeCode Available	5
Improving Neural Networks for Time Series Forecasting using Data Augmentation and AutoML	Mar 2, 2021	AutoMLBIG-bench Machine Learning	CodeCode Available	5
Evaluating System 1 vs. 2 Reasoning Approaches for Zero-Shot Time Series Forecasting: A Benchmark and Insights	Feb 27, 2025	Time SeriesTime Series Forecasting	CodeCode Available	5
HyperbolicLR: Epoch insensitive learning rate scheduler	Jul 21, 2024	image-classificationImage Classification	CodeCode Available	5
A Framework for Imbalanced Time-series Forecasting	Jul 22, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Hyperparameter Tuning MLPs for Probabilistic Time Series Forecasting	Mar 7, 2024	Hyperparameter OptimizationProbabilistic Time Series Forecasting	CodeCode Available	5
Indeterminate Probability Theory	Mar 21, 2023	ClassificationMultivariate Time Series Forecasting	CodeCode Available	5
Learning Informative Representation for Fairness-aware Multivariate Time-series Forecasting: A Group-based Perspective	Jan 27, 2023	FairnessMultivariate Time Series Forecasting	CodeCode Available	5
MARLP: Time-series Forecasting Control for Agricultural Managed Aquifer Recharge	Jul 1, 2024	Model Predictive ControlScheduling	CodeCode Available	5
Performance evaluation of deep neural networks for forecasting time-series with multiple structural breaks and high volatility	Nov 14, 2019	Time SeriesTime Series Analysis	CodeCode Available	5
Epidemic Forecasting with a Hybrid Deep Learning Method Using CNN-LSTM With WOA-GWO Parameter Optimization: Global COVID-19 Case Study	Mar 17, 2025	Time Series Forecasting	—Unverified	0
Entanglement-Embedded Recurrent Network Architecture: Tensorized Latent State Propagation and Chaos Forecasting	Jun 10, 2020	Tensor DecompositionTime Series	—Unverified	0
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction	May 19, 2025	Time SeriesTime Series Forecasting	—Unverified	0
Ensembles of Randomized NNs for Pattern-based Time Series Forecasting	Jul 8, 2021	DiversityTime Series	—Unverified	0
A novel stochastic model based on echo state networks for hydrological time series forecasting	Oct 16, 2021	ManagementNetwork Embedding	—Unverified	0
Forecasting Cardiology Admissions from Catheterization Laboratory	Dec 28, 2018	ManagementTime Series	—Unverified	0
Enhancing Wind Power Forecast Precision via Multi-head Attention Transformer: An Investigation on Single-step and Multi-step Forecasting	Apr 21, 2023	Time SeriesTime Series Forecasting	—Unverified	0

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All datasets ETTh1 (336) Multivariate ETTh1 (720) Multivariate ETTh2 (336) Multivariate ETTh2 (720) Multivariate ETTh1 (192) Multivariate ETTh2 (192) Multivariate ETTh2 (96) Multivariate ETTh1 (96) Multivariate Weather (192)ETTh1 (720) Univariate Weather (96)Electricity (96)

Benchmark Results

#	Model	Metric	Claimed	Verified	Status
1	Informer	MSE	0.88	—	Unverified
2	QuerySelector	MSE	0.85	—	Unverified
3	Transformer	MSE	0.83	—	Unverified
4	Aaren	MSE	0.65	—	Unverified
5	RPMixer	MSE	0.52	—	Unverified
6	MOIRAILarge	MSE	0.51	—	Unverified
7	ATFNet	MSE	0.51	—	Unverified
8	Autoformer	MSE	0.51	—	Unverified
9	SCINet	MSE	0.5	—	Unverified
10	S-Mamba	MSE	0.49	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	QuerySelector	MSE	1.12	—	Unverified
2	Transformer	MSE	1.11	—	Unverified
3	Informer	MSE	0.94	—	Unverified
4	GLinear	MSE	0.59	—	Unverified
5	SCINet	MSE	0.54	—	Unverified
6	MoLE-DLinear	MSE	0.51	—	Unverified
7	PRformer	MSE	0.49	—	Unverified
8	TEFN	MSE	0.48	—	Unverified
9	DLinear	MSE	0.47	—	Unverified
10	FiLM	MSE	0.47	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Transformer	MSE	2.66	—	Unverified
2	QuerySelector	MSE	2.32	—	Unverified
3	Informer	MSE	1.67	—	Unverified
4	DLinear	MSE	0.45	—	Unverified
5	TEFN	MSE	0.42	—	Unverified
6	MoLE-DLinear	MSE	0.42	—	Unverified
7	FiLM	MSE	0.38	—	Unverified
8	MoLE-RLinear	MSE	0.37	—	Unverified
9	SCINet	MSE	0.37	—	Unverified
10	PRformer	MSE	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	Transformer	MSE	3.18	—	Unverified
2	QuerySelector	MSE	3.07	—	Unverified
3	Informer	MSE	2.34	—	Unverified
4	MoLE-DLinear	MSE	0.61	—	Unverified
5	DLinear	MSE	0.61	—	Unverified
6	SCINet	MSE	0.48	—	Unverified
7	FiLM	MSE	0.44	—	Unverified
8	TEFN	MSE	0.43	—	Unverified
9	TiDE	MSE	0.42	—	Unverified
10	MoLE-RLinear	MSE	0.41	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	MoLE-DLinear	MSE	0.45	—	Unverified
2	TEFN	MSE	0.43	—	Unverified
3	FiLM	MSE	0.41	—	Unverified
4	PatchTST/64	MSE	0.41	—	Unverified
5	TiDE	MSE	0.41	—	Unverified
6	NLinear	MSE	0.41	—	Unverified
7	DiPE-Linear	MSE	0.41	—	Unverified
8	DLinear	MSE	0.41	—	Unverified
9	RLinear	MSE	0.4	—	Unverified
10	MoLE-RLinear	MSE	0.4	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DLinear	MSE	0.38	—	Unverified
2	TEFN	MSE	0.38	—	Unverified
3	MoLE-DLinear	MSE	0.36	—	Unverified
4	FiLM	MSE	0.36	—	Unverified
5	NLinear	MSE	0.34	—	Unverified
6	PatchTST/64	MSE	0.34	—	Unverified
7	MoLE-RLinear	MSE	0.34	—	Unverified
8	LTBoost (drop_last=false)	MSE	0.33	—	Unverified
9	PRformer	MSE	0.33	—	Unverified
10	TiDE	MSE	0.33	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	DLinear	MSE	0.29	—	Unverified
2	TEFN	MSE	0.29	—	Unverified
3	MoLE-DLinear	MSE	0.29	—	Unverified
4	FiLM	MSE	0.28	—	Unverified
5	NLinear	MSE	0.28	—	Unverified
6	TSMixer	MSE	0.28	—	Unverified
7	DiPE-Linear	MSE	0.28	—	Unverified
8	PatchTST/64	MSE	0.27	—	Unverified
9	MoLE-RLinear	MSE	0.27	—	Unverified
10	TiDE	MSE	0.27	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TEFN	MSE	0.38	—	Unverified
2	MoLE-DLinear	MSE	0.38	—	Unverified
3	MoLE-RLinear	MSE	0.38	—	Unverified
4	TiDE	MSE	0.38	—	Unverified
5	FiLM	MSE	0.37	—	Unverified
6	PatchTST/64	MSE	0.37	—	Unverified
7	DiPE-Linear	MSE	0.37	—	Unverified
8	TSMixer	MSE	0.37	—	Unverified
9	RLinear	MSE	0.37	—	Unverified
10	TTM	MSE	0.36	—	Unverified

#	Model	Metric	Claimed	Verified	Status
1	TEFN	MSE	0.23	—	Unverified
2	DLinear	MSE	0.22	—	Unverified