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 501–525 of 1609 papers

Title	Date	Tasks	Status	Score
Boosting MLPs with a Coarsening Strategy for Long-Term Time Series Forecasting	May 6, 2024	Computational EfficiencyTime Series	CodeCode Available	5
Effective Benchmarks for Optical Turbulence Modeling	Jan 7, 2024	Time Series ForecastingTime Series Regression	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
Performative Time-Series Forecasting	Oct 9, 2023	Time SeriesTime Series Forecasting	CodeCode Available	5
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions	Dec 16, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	5
A new Takagi–Sugeno–Kang model for time series forecasting	Jul 1, 2024	Time SeriesTime Series Forecasting	CodeCode Available	5
EasyMLServe: Easy Deployment of REST Machine Learning Services	Nov 26, 2022	Instance SegmentationSemantic Segmentation	CodeCode Available	5
Pay Attention to Evolution: Time Series Forecasting with Deep Graph-Evolution Learning	Aug 28, 2020	Ensemble LearningTime Series	CodeCode Available	5
Early Prediction of Causes (not Effects) in Healthcare by Long-Term Clinical Time Series Forecasting	Aug 7, 2024	Time SeriesTime Series Forecasting	CodeCode Available	5
PDETime: Rethinking Long-Term Multivariate Time Series Forecasting from the perspective of partial differential equations	Feb 25, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	5
Predicting Future Mosquito Larval Habitats Using Time Series Climate Forecasting and Deep Learning	Aug 1, 2022	Time SeriesTime Series Analysis	CodeCode Available	5
Robust Multi-Modal Forecasting: Integrating Static and Dynamic Features	May 21, 2025	Time SeriesTime Series Forecasting	CodeCode Available	5
Optimal activity and battery scheduling algorithm using load and solar generation forecast	Dec 6, 2021	Missing ValuesScheduling	CodeCode Available	5
On projection methods for functional time series forecasting	May 10, 2021	Time SeriesTime Series Analysis	CodeCode Available	5
Optimal starting point for time series forecasting	Sep 25, 2024	Time SeriesTime Series Forecasting	CodeCode Available	5
Block Hankel Tensor ARIMA for Multiple Short Time Series Forecasting	Feb 25, 2020	Time SeriesTime Series Analysis	CodeCode Available	5
Dynamic Long-Term Time-Series Forecasting via Meta Transformer Networks	Jan 25, 2024	Time SeriesTime Series Forecasting	CodeCode Available	5
On-Line Learning of Linear Dynamical Systems: Exponential Forgetting in Kalman Filters	Sep 16, 2018	regressionTime Series	CodeCode Available	5
Optimizing Time Series Forecasting: A Comparative Study of Adam and Nesterov Accelerated Gradient on LSTM and GRU networks Using Stock Market data	Sep 28, 2024	PredictionTime Series	CodeCode Available	5
A New Deep Learning Architecture withInductive Bias Balance for Transformer Oil Temperature Forecasting	May 28, 2023	Inductive BiasTime Series	CodeCode Available	5
DynaConF: Dynamic Forecasting of Non-Stationary Time Series	Sep 17, 2022	Deep LearningTime Series	CodeCode Available	5
Classification with 2-D Convolutional Neural Networks for breast cancer diagnosis	Jul 7, 2020	ClassificationDiagnostic	CodeCode Available	5
Non-collective Calibrating Strategy for Time Series Forecasting	May 29, 2025	Time SeriesTime Series Forecasting	CodeCode Available	5
DSSRNN: Decomposition-Enhanced State-Space Recurrent Neural Network for Time-Series Analysis	Dec 1, 2024	Computational EfficiencyPhysics-informed machine learning	CodeCode Available	5
DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting	Nov 3, 2019	Multivariate Time Series ForecastingTime Series	CodeCode Available	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