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 976–1000 of 1609 papers

Title	Date	Tasks	Status
A Primer on Temporal Graph Learning	Jan 8, 2024	Graph LearningTime Series	—Unverified
Arbitrary Order Meta-Learning with Simple Population-Based Evolution	Mar 16, 2023	Meta-LearningTime Series	—Unverified
A review and comparison of strategies for multi-step ahead time series forecasting based on the NN5 forecasting competition	Aug 16, 2011	Time SeriesTime Series Analysis	—Unverified
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends	May 30, 2019	Fault DetectionTime Series Analysis	—Unverified
ARM: Refining Multivariate Forecasting with Adaptive Temporal-Contextual Learning	Oct 14, 2023	Time SeriesTime Series Forecasting	—Unverified
A Scalable and Transferable Time Series Prediction Framework for Demand Forecasting	Feb 29, 2024	Demand ForecastingTime Series	—Unverified
A self-organising eigenspace map for time series clustering	May 14, 2019	ClusteringTime Series	—Unverified
A Self-Supervised Learning-based Approach to Clustering Multivariate Time-Series Data with Missing Values (SLAC-Time): An Application to TBI Phenotyping	Feb 27, 2023	Clinical KnowledgeClustering	—Unverified
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting	Feb 2, 2019	ClusteringDenoising	—Unverified
A Statistical Framework for Model Selection in LSTM Networks	Jun 7, 2025	Model SelectionTime Series Forecasting	—Unverified
A Study of Aggregation of Long Time-series Input for LSTM Neural Networks	Sep 29, 2021	Time SeriesTime Series Analysis	—Unverified
A study on Ensemble Learning for Time Series Forecasting and the need for Meta-Learning	Apr 23, 2021	Ensemble LearningMeta-Learning	—Unverified
A Supervised Screening and Regularized Factor-Based Method for Time Series Forecasting	Feb 21, 2025	Dimensionality ReductionTime Series	—Unverified
A Survey of Deep Learning and Foundation Models for Time Series Forecasting	Jan 25, 2024	Deep LearningKnowledge Graphs	—Unverified
A Survey of Explainable Artificial Intelligence (XAI) in Financial Time Series Forecasting	Jul 22, 2024	Decision MakingExplainable artificial intelligence	—Unverified
A Survey on Kolmogorov-Arnold Network	Nov 9, 2024	Computational EfficiencyGraph Learning	—Unverified
A Comparative Analysis of Machine Learning and Grey Models	Apr 2, 2021	BIG-bench Machine LearningSurvey	—Unverified
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models	Mar 22, 2025	Computational EfficiencyMamba	—Unverified
A Systematic Literature Review of Spatio-Temporal Graph Neural Network Models for Time Series Forecasting and Classification	Oct 29, 2024	Graph Neural NetworkSystematic Literature Review	—Unverified
A Systematic Review for Transformer-based Long-term Series Forecasting	Oct 31, 2023	Time SeriesTime Series Analysis	—Unverified
Attention as Robust Representation for Time Series Forecasting	Feb 8, 2024	Multivariate Time Series ForecastingTime Series	—Unverified
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach	Aug 25, 2021	Decoderfeature selection	—Unverified
Attention-Based Reading, Highlighting, and Forecasting of the Limit Order Book	Sep 3, 2024	Time SeriesTime Series Forecasting	—Unverified
Attention Mechanism for Multivariate Time Series Recurrent Model Interpretability Applied to the Ironmaking Industry	Jul 15, 2020	Deep LearningMultivariate Time Series Forecasting	—Unverified
A unified machine learning approach to time series forecasting applied to demand at emergency departments	Jul 13, 2020	BIG-bench Machine LearningTime Series	—Unverified

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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