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 1226–1250 of 1609 papers

Title	Date	Tasks	Status
FinBERT-BiLSTM: A Deep Learning Model for Predicting Volatile Cryptocurrency Market Prices Using Market Sentiment Dynamics	Nov 2, 2024	Sentiment AnalysisTime Series	—Unverified
Fine-Tuning Foundation Models with Federated Learning for Privacy Preserving Medical Time Series Forecasting	Feb 13, 2025	Federated LearningPrivacy Preserving	—Unverified
Fine-Tuning Pre-trained Large Time Series Models for Prediction of Wind Turbine SCADA Data	Nov 30, 2024	PredictionTime Series	—Unverified
FinTSBridge: A New Evaluation Suite for Real-world Financial Prediction with Advanced Time Series Models	Mar 10, 2025	Time SeriesTime Series Forecasting	—Unverified
Fixing the Pitfalls of Probabilistic Time-Series Forecasting Evaluation by Kernel Quadrature	Mar 8, 2025	Probabilistic Time Series ForecastingTime Series	—Unverified
FlightKooba: A Fast Interpretable FTP Model	Jun 24, 2025	Mambamodel	—Unverified
Flow Forecast: A deep learning for time series forecasting, classification, and anomaly detection framework built in PyTorch	Jan 18, 2021	Anomaly DetectionTime Series	—Unverified
Flow Matching with Gaussian Process Priors for Probabilistic Time Series Forecasting	Oct 3, 2024	Gaussian ProcessesProbabilistic Time Series Forecasting	—Unverified
FlowScope: Enhancing Decision Making by Time Series Forecasting based on Prediction Optimization using HybridFlow Forecast Framework	Nov 16, 2024	Decision MakingState Space Models	—Unverified
FMamba: Mamba based on Fast-attention for Multivariate Time-series Forecasting	Jul 20, 2024	MambaMultivariate Time Series Forecasting	—Unverified
For2For: Learning to forecast from forecasts	Jan 14, 2020	BIG-bench Machine LearningTime Series	—Unverified
ForecastGrapher: Redefining Multivariate Time Series Forecasting with Graph Neural Networks	May 28, 2024	Multivariate Time Series ForecastingNode Regression	—Unverified
Forecasting and Analyzing the Military Expenditure of India Using Box-Jenkins ARIMA Model	Nov 10, 2020	ManagementTime Series	—Unverified
Forecasting Application Counts in Talent Acquisition Platforms: Harnessing Multimodal Signals using LMs	Nov 19, 2024	Job classificationTime Series	—Unverified
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts	Jan 16, 2022	SentenceTime Series	—Unverified
Forecasting COVID-19 Caseloads Using Unsupervised Embedding Clusters of Social Media Posts	May 20, 2022	SentenceTime Series	—Unverified
Forecasting Emergency Department Capacity Constraints for COVID Isolation Beds	Nov 9, 2020	Time SeriesTime Series Analysis	—Unverified
Forecasting Emerging Trends from Scientific Literature	May 1, 2016	regressionTime Series	—Unverified
Forecasting foreign exchange rates with regression networks tuned by Bayesian optimization	Apr 26, 2022	Bayesian Optimizationglobal-optimization	—Unverified
Forecasting Macroeconomic Dynamics using a Calibrated Data-Driven Agent-based Model	Sep 27, 2024	Bayesian InferenceTime Series	—Unverified
Forecasting Market Prices using DL with Data Augmentation and Meta-learning: ARIMA still wins!	Oct 19, 2021	Data AugmentationDeep Learning	—Unverified
Forecasting Method for Grouped Time Series with the Use of k-Means Algorithm	Sep 15, 2015	ClusteringTime Series	—Unverified
Forecasting Nonnegative Time Series via Sliding Mask Method (SMM) and Latent Clustered Forecast (LCF)	Feb 10, 2021	ClusteringDimensionality Reduction	—Unverified
Forecasting Opioid Incidents for Rapid Actionable Data for Opioid Response in Kentucky	Oct 21, 2024	Time SeriesTime Series Forecasting	—Unverified
Forecasting Short-term load using Econometrics time series model with T-student Distribution	Sep 28, 2020	EconometricsLoad 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	DLinear	MSE	0.61	—	Unverified
5	MoLE-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	LTBoost (drop_last=false)	MSE	0.33	—	Unverified
10	PRformer	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