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 1026–1050 of 1609 papers

Title	Date	Tasks	Status	Hype
Sepformer-based Models: More Efficient Models for Long Sequence Time-Series Forecasting	Dec 23, 2022	GPUTime Series	CodeCode Available	1
Few-shot human motion prediction for heterogeneous sensors	Dec 22, 2022	Few-Shot LearningHuman motion prediction	CodeCode Available	0
Temporal Disaggregation of the Cumulative Grass Growth	Dec 21, 2022	Time SeriesTime Series Analysis	—Unverified	0
A Pattern Discovery Approach to Multivariate Time Series Forecasting	Dec 20, 2022	DiversityMultivariate Time Series Forecasting	—Unverified	0
First De-Trend then Attend: Rethinking Attention for Time-Series Forecasting	Dec 15, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Temporal Saliency Detection Towards Explainable Transformer-based Timeseries Forecasting	Dec 15, 2022	DecoderSaliency Detection	CodeCode Available	1
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting	Dec 13, 2022	MarketingTime Series	—Unverified	0
Agnostic Learning for Packing Machine Stoppage Prediction in Smart Factories	Dec 12, 2022	Time Series AnalysisTime Series Forecasting	—Unverified	0
MegaCRN: Meta-Graph Convolutional Recurrent Network for Spatio-Temporal Modeling	Dec 12, 2022	DecoderGraph Learning	CodeCode Available	1
Towards Better Long-range Time Series Forecasting using Generative Forecasting	Dec 9, 2022	Generative Adversarial NetworkTime Series	—Unverified	0
Copula Conformal Prediction for Multi-step Time Series Forecasting	Dec 6, 2022	Conformal PredictionPrediction	CodeCode Available	1
A K-variate Time Series Is Worth K Words: Evolution of the Vanilla Transformer Architecture for Long-term Multivariate Time Series Forecasting	Dec 6, 2022	DecoderInductive Bias	—Unverified	0
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations	Dec 5, 2022	GPUMultivariate Time Series Forecasting	—Unverified	0
FECAM: Frequency Enhanced Channel Attention Mechanism for Time Series Forecasting	Dec 2, 2022	Time SeriesTime Series Analysis	CodeCode Available	1
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data	Nov 30, 2022	Time SeriesTime Series Analysis	—Unverified	0
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting	Nov 29, 2022	Correlated Time Series ForecastingTime Series	—Unverified	0
Beyond S-curves: Recurrent Neural Networks for Technology Forecasting	Nov 28, 2022	Time SeriesTime Series Analysis	—Unverified	0
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting	Nov 28, 2022	Hyperparameter OptimizationModel Selection	—Unverified	0
Federated Learning for 5G Base Station Traffic Forecasting	Nov 28, 2022	Federated LearningManagement	CodeCode Available	1
An Anomaly Detection Method for Satellites Using Monte Carlo Dropout	Nov 27, 2022	Anomaly DetectionTime Series	—Unverified	0
Spatio-Temporal Meta-Graph Learning for Traffic Forecasting	Nov 27, 2022	DecoderGraph Learning	CodeCode Available	1
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers	Nov 27, 2022	Multivariate Time Series ForecastingRepresentation Learning	CodeCode Available	5
EasyMLServe: Easy Deployment of REST Machine Learning Services	Nov 26, 2022	Instance SegmentationSemantic Segmentation	CodeCode Available	0
Probabilistic Time Series Forecasting for Adaptive Monitoring in Edge Computing Environments	Nov 24, 2022	Autonomous DrivingEdge-computing	—Unverified	0
Time Series Forecasting with Hypernetworks Generating Parameters in Advance	Nov 22, 2022	Time SeriesTime Series Analysis	—Unverified	0

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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