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 1526–1550 of 1609 papers

Title	Date	Tasks	Status
GRATIS: GeneRAting TIme Series with diverse and controllable characteristics	Mar 7, 2019	BenchmarkingClustering	CodeCode Available
Gradient-free training of recurrent neural networks	Oct 30, 2024	Time SeriesTime Series Analysis	CodeCode Available
Share Secrets for Privacy: Confidential Forecasting with Vertical Federated Learning	May 31, 2024	Federated LearningNavigate	CodeCode Available
Time-Series Forecasting, Knowledge Distillation, and Refinement within a Multimodal PDE Foundation Model	Sep 17, 2024	Knowledge DistillationOperator learning	CodeCode Available
Bundle Networks: Fiber Bundles, Local Trivializations, and a Generative Approach to Exploring Many-to-one Maps	Oct 13, 2021	Time SeriesTime Series Analysis	CodeCode Available
Deep Optimal Timing Strategies for Time Series	Oct 9, 2023	Probabilistic Time Series ForecastingTime Series	CodeCode Available
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil	Jul 21, 2020	Decision MakingEnsemble Learning	CodeCode Available
SiamTST: A Novel Representation Learning Framework for Enhanced Multivariate Time Series Forecasting applied to Telco Networks	Jul 2, 2024	Multivariate Time Series ForecastingRepresentation Learning	CodeCode Available
Global Models for Time Series Forecasting: A Simulation Study	Dec 23, 2020	Time SeriesTime Series Analysis	CodeCode Available
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models	Mar 26, 2025	Federated Learningimage-classification	CodeCode Available
Similarity-based Feature Extraction for Large-scale Sparse Traffic Forecasting	Nov 13, 2022	Graph Neural NetworkTime Series	CodeCode Available
Asset Price Forecasting using Recurrent Neural Networks	Oct 10, 2020	Time SeriesTime Series Analysis	CodeCode Available
Simplified Mamba with Disentangled Dependency Encoding for Long-Term Time Series Forecasting	Aug 22, 2024	MambaTime Series	CodeCode Available
Geolocation Representation from Large Language Models are Generic Enhancers for Spatio-Temporal Learning	Aug 22, 2024	Spatio-Temporal ForecastingTime Series Forecasting	CodeCode Available
Budget-constrained Collaborative Renewable Energy Forecasting Market	Jan 21, 2025	Time Series Forecasting	CodeCode Available
Genetic algorithm-based hyperparameter optimization of deep learning models for PM2.5 time-series prediction	Mar 1, 2023	Air Pollution PredictionDeep Learning	CodeCode Available
Bridging Simplicity and Sophistication using GLinear: A Novel Architecture for Enhanced Time Series Prediction	Jan 2, 2025	GLinearTime Series	CodeCode Available
Enhancing Algorithm Performance Understanding through tsMorph: Generating Semi-Synthetic Time Series for Robust Forecasting Evaluation	Dec 3, 2023	Synthetic Data GenerationTime Series	CodeCode Available
Breaking the Context Bottleneck on Long Time Series Forecasting	Dec 21, 2024	Decision MakingTime Series	CodeCode Available
Mitigating Data Redundancy to Revitalize Transformer-based Long-Term Time Series Forecasting System	Jul 16, 2022	Data AugmentationDecoder	CodeCode Available
Smart Data Representations: Impact on the Accuracy of Deep Neural Networks	Nov 17, 2021	Time SeriesTime Series Analysis	CodeCode Available
Gegenbauer Graph Neural Networks for Time-varying Signal Reconstruction	Mar 28, 2024	Graph Neural NetworkImputation	CodeCode Available
Time Series Forecasting Using LSTM Networks: A Symbolic Approach	Mar 12, 2020	BIG-bench Machine LearningSensitivity	CodeCode Available
TSPP: A Unified Benchmarking Tool for Time-series Forecasting	Dec 28, 2023	BenchmarkingFeature Engineering	CodeCode Available
GCformer: An Efficient Framework for Accurate and Scalable Long-Term Multivariate Time Series Forecasting	Jun 14, 2023	Multivariate Time Series ForecastingTime Series	CodeCode Available

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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