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 201–225 of 1609 papers

Title	Date	Tasks	Status	Hype	Score
BasisFormer: Attention-based Time Series Forecasting with Learnable and Interpretable Basis	Oct 31, 2023	Contrastive LearningSelf-Supervised Learning	CodeCode Available	1	5
A Comprehensive Survey of Deep Learning for Multivariate Time Series Forecasting: A Channel Strategy Perspective	Feb 15, 2025	Multivariate Time Series ForecastingTime Series	CodeCode Available	1	5
BACKTIME: Backdoor Attacks on Multivariate Time Series Forecasting	Oct 3, 2024	EpidemiologyMultivariate Time Series Forecasting	CodeCode Available	1	5
Dynamical Diffusion: Learning Temporal Dynamics with Diffusion Models	Mar 2, 2025	Time Series ForecastingVideo Prediction	CodeCode Available	1	5
An Analysis of Linear Time Series Forecasting Models	Mar 21, 2024	Formregression	CodeCode Available	1	5
K^2VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting	May 29, 2025	Decision MakingProbabilistic Time Series Forecasting	CodeCode Available	1	5
Integrating LSTMs and GNNs for COVID-19 Forecasting	Jul 14, 2021	Time SeriesTime Series Analysis	CodeCode Available	1	5
Interpretable Multivariate Time Series Forecasting with Temporal Attention Convolutional Neural Networks	Jan 1, 2021	Multivariate Time Series ForecastingTime Series	CodeCode Available	1	5
Do We Really Need Deep Learning Models for Time Series Forecasting?	Jan 6, 2021	Deep Learningregression	CodeCode Available	1	5
D-PAD: Deep-Shallow Multi-Frequency Patterns Disentangling for Time Series Forecasting	Mar 26, 2024	Time SeriesTime Series Forecasting	CodeCode Available	1	5
Interpretable Multivariate Time Series Forecasting Using Neural Fourier Transform	May 22, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	1	5
Embedded feature selection in LSTM networks with multi-objective evolutionary ensemble learning for time series forecasting	Dec 29, 2023	AttributeEnsemble Learning	CodeCode Available	1	5
auto-sktime: Automated Time Series Forecasting	Dec 13, 2023	AutoMLBayesian Optimization	CodeCode Available	1	5
DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks	Mar 21, 2025	Time Series Forecasting	CodeCode Available	1	5
Domain Adversarial Spatial-Temporal Network: A Transferable Framework for Short-term Traffic Forecasting across Cities	Feb 8, 2022	Domain AdaptationGraph Mining	CodeCode Available	1	5
Autoregressive Moving-average Attention Mechanism for Time Series Forecasting	Oct 4, 2024	DecoderTime Series	CodeCode Available	1	5
Instance-wise Graph-based Framework for Multivariate Time Series Forecasting	Sep 14, 2021	Multivariate Time Series ForecastingTime Series	CodeCode Available	1	5
Irregular Traffic Time Series Forecasting Based on Asynchronous Spatio-Temporal Graph Convolutional Network	Aug 31, 2023	Time SeriesTime Series Forecasting	CodeCode Available	1	5
Ensembles of Localised Models for Time Series Forecasting	Dec 30, 2020	ClusteringTime Series	CodeCode Available	1	5
Language in the Flow of Time: Time-Series-Paired Texts Weaved into a Unified Temporal Narrative	Feb 13, 2025	ImputationTime Series	CodeCode Available	1	5
Learning to Embed Time Series Patches Independently	Dec 27, 2023	Contrastive LearningRepresentation Learning	CodeCode Available	1	5
Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting	Feb 17, 2022	Conformal PredictionPrediction Intervals	CodeCode Available	1	5
Discovering Predictable Latent Factors for Time Series Forecasting	Mar 18, 2023	Time SeriesTime Series Forecasting	CodeCode Available	1	5
Exploring the Advantages of Transformers for High-Frequency Trading	Feb 20, 2023	DecoderPosition	CodeCode Available	1	5
How Much Can Time-related Features Enhance Time Series Forecasting?	Dec 2, 2024	Computational EfficiencyTime Series	CodeCode Available	1	5

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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	DLinear	MSE	0.61	—	Unverified
5	MoLE-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	TiDE	MSE	0.33	—	Unverified
9	LTBoost (drop_last=false)	MSE	0.33	—	Unverified
10	PRformer	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	TiDE	MSE	0.38	—	Unverified
4	MoLE-RLinear	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