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 126–150 of 1609 papers

Title	Date	Tasks	Status	Hype	Score
FinTSB: A Comprehensive and Practical Benchmark for Financial Time Series Forecasting	Feb 26, 2025	Model SelectionTime Series	CodeCode Available	2	5
Deep Learning for Time Series Forecasting: Tutorial and Literature Survey	Apr 21, 2020	BIG-bench Machine LearningDeep Learning	CodeCode Available	2	5
KAN4TSF: Are KAN and KAN-based models Effective for Time Series Forecasting?	Aug 21, 2024	Mixture-of-ExpertsTime Series	CodeCode Available	2	5
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting	Jun 24, 2021	Time SeriesTime Series Analysis	CodeCode Available	2	5
Autoregressive Denoising Diffusion Models for Multivariate Probabilistic Time Series Forecasting	Jan 28, 2021	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	CodeCode Available	2	5
HoTPP Benchmark: Are We Good at the Long Horizon Events Forecasting?	Jun 20, 2024	BenchmarkingPoint Processes	CodeCode Available	2	5
Are Self-Attentions Effective for Time Series Forecasting?	May 27, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
Large Language Models Are Zero-Shot Time Series Forecasters	Oct 11, 2023	ImputationTime Series	CodeCode Available	2	5
Generative Time Series Forecasting with Diffusion, Denoise, and Disentanglement	Jan 8, 2023	DenoisingDisentanglement	CodeCode Available	2	5
ATFNet: Adaptive Time-Frequency Ensembled Network for Long-term Time Series Forecasting	Apr 8, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
From News to Forecast: Integrating Event Analysis in LLM-Based Time Series Forecasting with Reflection	Sep 26, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
DeTPP: Leveraging Object Detection for Robust Long-Horizon Event Prediction	Aug 23, 2024	DiversityPoint Processes	CodeCode Available	2	5
Heterogeneity-Informed Meta-Parameter Learning for Spatiotemporal Time Series Forecasting	May 17, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
GinAR: An End-To-End Multivariate Time Series Forecasting Model Suitable for Variable Missing	May 18, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	2	5
A Survey on Graph Neural Networks for Time Series: Forecasting, Classification, Imputation, and Anomaly Detection	Jul 7, 2023	Anomaly DetectionImputation	CodeCode Available	2	5
A Temporal Kolmogorov-Arnold Transformer for Time Series Forecasting	Jun 4, 2024	DecoderKolmogorov-Arnold Networks	CodeCode Available	2	5
Frequency Adaptive Normalization For Non-stationary Time Series Forecasting	Sep 30, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective	Nov 10, 2023	Graph Neural NetworkMultivariate Time Series Forecasting	CodeCode Available	2	5
Auto-Regressive Moving Diffusion Models for Time Series Forecasting	Dec 12, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
Fredformer: Frequency Debiased Transformer for Time Series Forecasting	Jun 13, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2	5
Frequency-domain MLPs are More Effective Learners in Time Series Forecasting	Nov 10, 2023	Time SeriesTime Series Forecasting	CodeCode Available	2	5
Large language models can be zero-shot anomaly detectors for time series?	May 23, 2024	Anomaly DetectionLanguage Modeling	CodeCode Available	2	5
Mamba-360: Survey of State Space Models as Transformer Alternative for Long Sequence Modelling: Methods, Applications, and Challenges	Apr 24, 2024	Drug DesignInductive Bias	CodeCode Available	2	5
MG-TSD: Multi-Granularity Time Series Diffusion Models with Guided Learning Process	Mar 9, 2024	Probabilistic Time Series ForecastingTime Series	CodeCode Available	2	5
N-HiTS: Neural Hierarchical Interpolation for Time Series Forecasting	Jan 30, 2022	Time SeriesTime Series Analysis	CodeCode Available	2	5

Show:10 25 50

← PrevPage 6 of 65Next →

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	ATFNet	MSE	0.51	—	Unverified
7	MOIRAILarge	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	TiDE	MSE	0.33	—	Unverified
9	PRformer	MSE	0.33	—	Unverified
10	LTBoost (drop_last=false)	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