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 951–975 of 1609 papers

Title	Date	Tasks	Status
Time Series Analysis and Modeling to Forecast: a Survey	Mar 31, 2021	SurveyTime Series	—Unverified
Analysis of Empirical Mode Decomposition-based Load and Renewable Time Series Forecasting	Nov 23, 2020	Time SeriesTime Series Analysis	—Unverified
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting	Jul 1, 2019	Time SeriesTime Series Analysis	—Unverified
Analytics of Business Time Series Using Machine Learning and Bayesian Inference	May 25, 2022	Bayesian InferenceBIG-bench Machine Learning	—Unverified
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout	Nov 27, 2022	Anomaly DetectionTime Series	—Unverified
An Attention Free Long Short-Term Memory for Time Series Forecasting	Sep 20, 2022	PredictionTime Series	—Unverified
An End-to-End Time Series Model for Simultaneous Imputation and Forecast	Jun 1, 2023	ImputationMissing Values	—Unverified
A network-based transfer learning approach to improve sales forecasting of new products	May 13, 2020	Time SeriesTime Series Analysis	—Unverified
An evaluation of time series forecasting models on water consumption data: A case study of Greece	Mar 30, 2023	ManagementTime Series	—Unverified
An Evolving Cascade System Based on A Set Of Neo Fuzzy Nodes	Oct 20, 2016	Time SeriesTime Series Analysis	—Unverified
A New State-of-the-Art Transformers-Based Load Forecaster on the Smart Grid Domain	Aug 5, 2021	energy managementLoad Forecasting	—Unverified
A New Unified Deep Learning Approach with Decomposition-Reconstruction-Ensemble Framework for Time Series Forecasting	Feb 22, 2020	Time SeriesTime Series Analysis	—Unverified
An Expectation-Based Network Scan Statistic for a COVID-19 Early Warning System	Dec 8, 2020	Time SeriesTime Series Analysis	—Unverified
An Interval-Valued Time Series Forecasting Scheme With Probability Distribution Features for Electric Power Generation Prediction	Jan 11, 2022	Descriptiveregression	—Unverified
An Introductory Study on Time Series Modeling and Forecasting	Feb 26, 2013	Time SeriesTime Series Analysis	—Unverified
Anomaly Prediction: A Novel Approach with Explicit Delay and Horizon	Aug 8, 2024	Anomaly DetectionPrediction	—Unverified
A novel decomposed-ensemble time series forecasting framework: capturing underlying volatility information	Oct 13, 2023	Time SeriesTime Series Forecasting	—Unverified
A Novel Distributed PV Power Forecasting Approach Based on Time-LLM	Mar 8, 2025	Large Language ModelScheduling	—Unverified
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices	Apr 23, 2025	Time Series Forecasting	—Unverified
A novel method of fuzzy time series forecasting based on interval index number and membership value using support vector machine	Oct 20, 2020	ClusteringTime Series	—Unverified
A novel stochastic model based on echo state networks for hydrological time series forecasting	Oct 16, 2021	ManagementNetwork Embedding	—Unverified
A Pattern Discovery Approach to Multivariate Time Series Forecasting	Dec 20, 2022	DiversityMultivariate Time Series Forecasting	—Unverified
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting	Dec 16, 2024	QuantizationTime Series	—Unverified
Application Research of Spline Interpolation and ARIMA in the Field of Stock Market Forecasting	Nov 14, 2023	Time SeriesTime Series Forecasting	—Unverified
RAM: Replace Attention with MLP for Efficient Multivariate Time Series Forecasting	Oct 31, 2024	Multivariate Time Series ForecastingTime 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	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