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
Boosted Embeddings for Time Series Forecasting	Apr 10, 2021	Deep LearningTime Series	—Unverified
Boosted Ensemble Learning based on Randomized NNs for Time Series Forecasting	Mar 2, 2022	Ensemble LearningTime Series	—Unverified
Boosting Certified Robustness for Time Series Classification with Efficient Self-Ensemble	Sep 4, 2024	Adversarial RobustnessTime Series	—Unverified
Brain-inspired photonic signal processor for periodic pattern generation and chaotic system emulation	Feb 6, 2018	Time SeriesTime Series Analysis	—Unverified
BreakGPT: Leveraging Large Language Models for Predicting Asset Price Surges	Nov 9, 2024	Language ModelingLanguage Modelling	—Unverified
Breaking Boundaries: Balancing Performance and Robustness in Deep Wireless Traffic Forecasting	Nov 16, 2023	Computational EfficiencyTime Series Forecasting	—Unverified
Bridging Short- and Long-Term Dependencies: A CNN-Transformer Hybrid for Financial Time Series Forecasting	Apr 27, 2025	Decision MakingTime Series	—Unverified
Bridging the Last Mile of Prediction: Enhancing Time Series Forecasting with Conditional Guided Flow Matching	Jul 9, 2025	Time SeriesTime Series Forecasting	—Unverified
Byte Pair Encoding for Efficient Time Series Forecasting	May 20, 2025	Time SeriesTime Series Analysis	—Unverified
CAIFormer: A Causal Informed Transformer for Multivariate Time Series Forecasting	May 22, 2025	AllMultivariate Time Series Forecasting	—Unverified
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?	Apr 14, 2025	Time SeriesTime Series Forecasting	—Unverified
Can LLMs Serve As Time Series Anomaly Detectors?	Aug 6, 2024	Anomaly DetectionIn-Context Learning	—Unverified
Can Local Representation Alignment RNNs Solve Temporal Tasks?	Apr 18, 2025	Anomaly DetectionTime Series Forecasting	—Unverified
Can time series forecasting be automated? A benchmark and analysis	Jul 23, 2024	BenchmarkingDecision Making	—Unverified
CAPE: Covariate-Adjusted Pre-Training for Epidemic Time Series Forecasting	Feb 5, 2025	Decision MakingTime Series	—Unverified
Forecasting Cardiology Admissions from Catheterization Laboratory	Dec 28, 2018	ManagementTime Series	—Unverified
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction	May 19, 2025	Time SeriesTime Series Forecasting	—Unverified
Causality-Inspired Models for Financial Time Series Forecasting	Aug 19, 2024	Causal Discoveryfeature selection	—Unverified
Feedback System Neural Networks for Inferring Causality in Directed Cyclic Graphs	Aug 27, 2019	Time Series AnalysisTime Series Forecasting	—Unverified
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series	Mar 21, 2025	Anomaly DetectionBenchmarking	—Unverified
Causal Triple Attention Time Series Forecasting	Sep 29, 2021	Causal InferenceTime Series	—Unverified
Chain-structured neural architecture search for financial time series forecasting	Mar 15, 2024	Bayesian OptimizationNeural Architecture Search	—Unverified
Challenges and approaches to time-series forecasting in data center telemetry: A Survey	Jan 11, 2021	ManagementTime Series	—Unverified
Channel Dependence, Limited Lookback Windows, and the Simplicity of Datasets: How Biased is Time Series Forecasting?	Feb 13, 2025	Time SeriesTime Series Forecasting	—Unverified
Chaotic Variational Auto encoder-based Adversarial Machine Learning	Feb 25, 2023	speech-recognitionSpeech Recognition	—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