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 276–300 of 1609 papers

Title	Date	Tasks	Status	Hype
Neural Conformal Control for Time Series Forecasting	Dec 24, 2024	Conformal PredictionFew-Shot Learning	CodeCode Available	1
EasyTime: Time Series Forecasting Made Easy	Dec 23, 2024	Time SeriesTime Series Forecasting	—Unverified	0
Quantum Time-Series Learning with Evolutionary Algorithms	Dec 23, 2024	Evolutionary AlgorithmsTime Series	CodeCode Available	0
xPatch: Dual-Stream Time Series Forecasting with Exponential Seasonal-Trend Decomposition	Dec 23, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	2
Enabling Time-series Foundation Model for Building Energy Forecasting via Contrastive Curriculum Learning	Dec 23, 2024	Time SeriesTime Series Forecasting	—Unverified	0
WPMixer: Efficient Multi-Resolution Mixing for Long-Term Time Series Forecasting	Dec 22, 2024	Financial AnalysisLoad Forecasting	CodeCode Available	2
Breaking the Context Bottleneck on Long Time Series Forecasting	Dec 21, 2024	Decision MakingTime Series	CodeCode Available	0
TimeRAG: BOOSTING LLM Time Series Forecasting via Retrieval-Augmented Generation	Dec 21, 2024	Dynamic Time WarpingRAG	—Unverified	0
Zero Shot Time Series Forecasting Using Kolmogorov Arnold Networks	Dec 19, 2024	Domain AdaptationKolmogorov-Arnold Networks	—Unverified	0
A Comprehensive Forecasting Framework based on Multi-Stage Hierarchical Forecasting Reconciliation and Adjustment	Dec 19, 2024	Bayesian OptimizationDemand Forecasting	—Unverified	0
DroughtSet: Understanding Drought Through Spatial-Temporal Learning	Dec 19, 2024	Time Series Forecasting	CodeCode Available	0
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine	Dec 19, 2024	Selection biasTime Series	—Unverified	0
QuLTSF: Long-Term Time Series Forecasting with Quantum Machine Learning	Dec 18, 2024	Quantum Machine LearningTime Series	CodeCode Available	0
A Comparative Study of Pruning Methods in Transformer-based Time Series Forecasting	Dec 17, 2024	Time SeriesTime Series Forecasting	—Unverified	0
TimeCHEAT: A Channel Harmony Strategy for Irregularly Sampled Multivariate Time Series Analysis	Dec 17, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	1
EDformer: Embedded Decomposition Transformer for Interpretable Multivariate Time Series Predictions	Dec 16, 2024	Multivariate Time Series ForecastingTime Series	CodeCode Available	0
Apollo-Forecast: Overcoming Aliasing and Inference Speed Challenges in Language Models for Time Series Forecasting	Dec 16, 2024	QuantizationTime Series	—Unverified	0
Learning Latent Spaces for Domain Generalization in Time Series Forecasting	Dec 15, 2024	Domain GeneralizationTime Series	—Unverified	0
Financial Fine-tuning a Large Time Series Model	Dec 13, 2024	Image GenerationPrediction	CodeCode Available	2
Quantum Kernel-Based Long Short-term Memory for Climate Time-Series Forecasting	Dec 12, 2024	Computational EfficiencyTime Series	—Unverified	0
Auto-Regressive Moving Diffusion Models for Time Series Forecasting	Dec 12, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2
Adversarial Vulnerabilities in Large Language Models for Time Series Forecasting	Dec 11, 2024	Adversarial AttackTime Series	CodeCode Available	1
Proactive Model Adaptation Against Concept Drift for Online Time Series Forecasting	Dec 11, 2024	Time SeriesTime Series Forecasting	CodeCode Available	2
Accurate Prediction of Temperature Indicators in Eastern China Using a Multi-Scale CNN-LSTM-Attention model	Dec 11, 2024	energy managementTime Series Forecasting	—Unverified	0
Advancing clinical trial outcomes using deep learning and predictive modelling: bridging precision medicine and patient-centered care	Dec 9, 2024	Computational EfficiencySurvival 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