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

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Showing 1176–1200 of 1609 papers

Title	Date	Tasks	Status
Solar Power Time Series Forecasting Utilising Wavelet Coefficients	Oct 1, 2022	Predictionregression	—Unverified
Some variation of COBRA in sequential learning setup	Apr 7, 2024	Bayesian OptimisationLoad Forecasting	—Unverified
Sparse-VQ Transformer: An FFN-Free Framework with Vector Quantization for Enhanced Time Series Forecasting	Feb 8, 2024	Computational EfficiencyMultivariate Time Series Forecasting	—Unverified
Sparsifying Networks via Subdifferential Inclusion	Jan 1, 2021	image-classificationImage Classification	—Unverified
Spatial-temporal wind field prediction by Artificial Neural Networks	Dec 13, 2017	PredictionTime Series	—Unverified
Spatiotemporal Forecasting in Climate Data Using EOFs and Machine Learning Models: A Case Study in Chile	Feb 21, 2025	Dynamic Time WarpingTime Series	—Unverified
Spatiotemporal-Linear: Towards Universal Multivariate Time Series Forecasting	Dec 22, 2023	Multivariate Time Series ForecastingPrediction	—Unverified
Spatio-Temporal Neural Networks for Space-Time Series Forecasting and Relations Discovery	Apr 23, 2018	DecoderEpidemiology	—Unverified
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models	May 13, 2025	MambaMultivariate Time Series Forecasting	—Unverified
Statistical analysis of Wasserstein GANs with applications to time series forecasting	Nov 5, 2020	Time SeriesTime Series Analysis	—Unverified
Stecformer: Spatio-temporal Encoding Cascaded Transformer for Multivariate Long-term Time Series Forecasting	May 25, 2023	PredictionTime Series	—Unverified
ST-MLP: A Cascaded Spatio-Temporal Linear Framework with Channel-Independence Strategy for Traffic Forecasting	Aug 14, 2023	Computational EfficiencyManagement	—Unverified
Stochastic Online Convex Optimization. Application to probabilistic time series forecasting	Feb 1, 2021	Probabilistic Time Series ForecastingTime Series	—Unverified
Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail	May 17, 2025	Spatial InterpolationTime Series Forecasting	—Unverified
Stochastic Recurrent Neural Network for Multistep Time Series Forecasting	Apr 26, 2021	State Space ModelsTime Series	—Unverified
Stock Market Directional Bias Prediction Using ML Algorithms	Oct 24, 2023	Algorithmic TradingPrediction	—Unverified
Stock Market Telepathy: Graph Neural Networks Predicting the Secret Conversations between MINT and G7 Countries	Jun 2, 2025	Graph Neural NetworkMultivariate Time Series Forecasting	—Unverified
Stock Price Forecasting in Presence of Covid-19 Pandemic and Evaluating Performances of Machine Learning Models for Time-Series Forecasting	May 4, 2021	Time SeriesTime Series Analysis	—Unverified
sTransformer: A Modular Approach for Extracting Inter-Sequential and Temporal Information for Time-Series Forecasting	Aug 19, 2024	Time SeriesTime Series Forecasting	—Unverified
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting	May 7, 2025	Multivariate Time Series ForecastingTime Series	—Unverified
Structural Knowledge Informed Continual Multivariate Time Series Forecasting	Feb 20, 2024	Continual LearningGraph structure learning	—Unverified
STTS-EAD: Improving Spatio-Temporal Learning Based Time Series Prediction via	Jan 14, 2025	Anomaly DetectionMultivariate Time Series Forecasting	—Unverified
Supervised Autoencoder MLP for Financial Time Series Forecasting	Apr 2, 2024	Time SeriesTime Series Forecasting	—Unverified
Supervised Autoencoders with Fractionally Differentiated Features and Triple Barrier Labelling Enhance Predictions on Noisy Data	Nov 6, 2024	Time SeriesTime Series Forecasting	—Unverified
Surrogate Modeling for Explainable Predictive Time Series Corrections	Dec 27, 2024	Time SeriesTime Series Forecasting	—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