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
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics	Apr 9, 2025	Multivariate Time Series ForecastingProbabilistic Time Series Forecasting	—Unverified	0
Loss Functions in Deep Learning: A Comprehensive Review	Apr 5, 2025	Computational EfficiencyDeep Learning	—Unverified	0
Block Toeplitz Sparse Precision Matrix Estimation for Large-Scale Interval-Valued Time Series Forecasting	Apr 4, 2025	ClusteringTime Series	—Unverified	0
Efficient Model Selection for Time Series Forecasting via LLMs	Apr 2, 2025	Meta-LearningModel Selection	—Unverified	0
Enhancing Time Series Forecasting with Fuzzy Attention-Integrated Transformers	Mar 31, 2025	Anomaly DetectionDecision Making	CodeCode Available	0
Integrating Quantum-Classical Attention in Patch Transformers for Enhanced Time Series Forecasting	Mar 31, 2025	Anomaly DetectionMultivariate Time Series Forecasting	CodeCode Available	0
ModelRadar: Aspect-based Forecast Evaluation	Mar 31, 2025	Time SeriesTime Series Forecasting	—Unverified	0
Times2D: Multi-Period Decomposition and Derivative Mapping for General Time Series Forecasting	Mar 31, 2025	energy managementTime Series	CodeCode Available	1
Time-Series Forecasting via Topological Information Supervised Framework with Efficient Topological Feature Learning	Mar 31, 2025	Time SeriesTime Series Forecasting	—Unverified	0
CITRAS: Covariate-Informed Transformer for Time Series Forecasting	Mar 31, 2025	Time SeriesTime Series Forecasting	—Unverified	0
Frequency-Aware Attention-LSTM for PM_2.5 Time Series Forecasting	Mar 31, 2025	Air Pollution PredictionDecision Making	—Unverified	0
Simple Feedfoward Neural Networks are Almost All You Need for Time Series Forecasting	Mar 30, 2025	AllBenchmarking	—Unverified	0
Long-Term Electricity Demand Prediction Using Non-negative Tensor Factorization and Genetic Algorithm-Driven Temporal Modeling	Mar 28, 2025	Tensor DecompositionTime Series	—Unverified	0
LeForecast: Enterprise Hybrid Forecast by Time Series Intelligence	Mar 27, 2025	Demand ForecastingTime Series	—Unverified	0
Dual-Splitting Conformal Prediction for Multi-Step Time Series Forecasting	Mar 27, 2025	Conformal PredictionLoad Forecasting	—Unverified	0
Adaptive State-Space Mamba for Real-Time Sensor Data Anomaly Detection	Mar 26, 2025	Anomaly DetectionMamba	—Unverified	0
TS-Inverse: A Gradient Inversion Attack Tailored for Federated Time Series Forecasting Models	Mar 26, 2025	Federated Learningimage-classification	CodeCode Available	0
Addressing Challenges in Time Series Forecasting: A Comprehensive Comparison of Machine Learning Techniques	Mar 26, 2025	ManagementMissing Values	—Unverified	0
Towards Reliable Time Series Forecasting under Future Uncertainty: Ambiguity and Novelty Rejection Mechanisms	Mar 25, 2025	Time SeriesTime Series Forecasting	—Unverified	0
Efficient Transformed Gaussian Process State-Space Models for Non-Stationary High-Dimensional Dynamical Systems	Mar 24, 2025	Computational EfficiencyGaussian Processes	—Unverified	0
From S4 to Mamba: A Comprehensive Survey on Structured State Space Models	Mar 22, 2025	Computational EfficiencyMamba	—Unverified	0
Sentinel: Multi-Patch Transformer with Temporal and Channel Attention for Time Series Forecasting	Mar 22, 2025	DecoderMultivariate Time Series Forecasting	—Unverified	0
Renewable Energy Transition in South America: Predictive Analysis of Generation Capacity by 2050	Mar 22, 2025	Time Series Forecasting	—Unverified	0
DiTEC-WDN: A Large-Scale Dataset of Hydraulic Scenarios across Multiple Water Distribution Networks	Mar 21, 2025	Time Series Forecasting	CodeCode Available	1
CausalRivers -- Scaling up benchmarking of causal discovery for real-world time-series	Mar 21, 2025	Anomaly DetectionBenchmarking	—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	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