SOTAVerified

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

Showing 501550 of 1609 papers

TitleStatusHype
Leveraging Multivariate Long-Term History Representation for Time Series Forecasting0
CRAFT: Time Series Forecasting with Cross-Future Behavior AwarenessCode0
CATS: Clustering-Aggregated and Time Series for Business Customer Purchase Intention Prediction0
Enhancing LLMs for Time Series Forecasting via Structure-Guided Cross-Modal Alignment0
Enhancing Channel-Independent Time Series Forecasting via Cross-Variate Patch Embedding0
RIFLES: Resource-effIcient Federated LEarning via Scheduling0
Stochastic Processes with Modified Lognormal Distribution Featuring Flexible Upper Tail0
Zero-Shot Forecasting Mortality Rates: A Global Study0
Multi-Order Wavelet Derivative Transform for Deep Time Series Forecasting0
Beyond Time: Cross-Dimensional Frequency Supervision for Time Series Forecasting0
Context-Aware Probabilistic Modeling with LLM for Multimodal Time Series Forecasting0
Nearest Neighbor Multivariate Time Series Forecasting0
IISE PG&E Energy Analytics Challenge 2025: Hourly-Binned Regression Models Beat Transformers in Load Forecasting0
Context parroting: A simple but tough-to-beat baseline for foundation models in scientific machine learning0
Effective Probabilistic Time Series Forecasting with Fourier Adaptive Noise-Separated Diffusion0
Rethinking Irregular Time Series Forecasting: A Simple yet Effective Baseline0
Does Scaling Law Apply in Time Series Forecasting?0
Avocado Price Prediction Using a Hybrid Deep Learning Model: TCN-MLP-Attention Architecture0
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting0
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data0
FAS-LLM: Large Language Model-Based Channel Prediction for OTFS-Enabled Satellite-FAS Links0
Feature Fitted Online Conformal Prediction for Deep Time Series Forecasting ModelCode0
A Multi-scale Representation Learning Framework for Long-Term Time Series Forecasting0
SPAT: Sensitivity-based Multihead-attention Pruning on Time Series Forecasting Models0
Enhancing Time Series Forecasting via a Parallel Hybridization of ARIMA and Polynomial Classifiers0
Matrix Is All You Need0
Accurate and Efficient Multivariate Time Series Forecasting via Offline Clustering0
STRGCN: Capturing Asynchronous Spatio-Temporal Dependencies for Irregular Multivariate Time Series Forecasting0
SCFormer: Structured Channel-wise Transformer with Cumulative Historical State for Multivariate Time Series ForecastingCode0
Less is More: Efficient Weight Farcasting with 1-Layer Neural Network0
Learning the Simplest Neural ODE0
Enhanced Prediction Model for Time Series Characterized by GARCH via Interval Type-2 Fuzzy Inference System0
Dual-Forecaster: A Multimodal Time Series Model Integrating Descriptive and Predictive Texts0
Feature Optimization for Time Series Forecasting via Novel Randomized Uphill Climbing0
Temporal Attention Evolutional Graph Convolutional Network for Multivariate Time Series Forecasting0
Unlocking the Potential of Linear Networks for Irregular Multivariate Time Series Forecasting0
Probabilistic Time Series Forecasting of Residential Loads -- A Copula Approach0
Multimodal Conditioned Diffusive Time Series Forecasting0
Bridging Short- and Long-Term Dependencies: A CNN-Transformer Hybrid for Financial Time Series Forecasting0
Goal-Oriented Time-Series Forecasting: Foundation Framework Design0
A Novel Hybrid Approach Using an Attention-Based Transformer + GRU Model for Predicting Cryptocurrency Prices0
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network0
Online model learning with data-assimilated reservoir computers0
Evaluating Temporal Plasticity in Foundation Time Series Models for Incremental Fine-tuning0
Can Local Representation Alignment RNNs Solve Temporal Tasks?0
MMformer with Adaptive Transferable Attention: Advancing Multivariate Time Series Forecasting for Environmental Applications0
Can Competition Enhance the Proficiency of Agents Powered by Large Language Models in the Realm of News-driven Time Series Forecasting?0
Adapting to the Unknown: Robust Meta-Learning for Zero-Shot Financial Time Series Forecasting0
ms-Mamba: Multi-scale Mamba for Time-Series Forecasting0
Probabilistic QoS Metric Forecasting in Delay-Tolerant Networks Using Conditional Diffusion Models on Latent Dynamics0
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Benchmark Results

#ModelMetricClaimedVerifiedStatus
1InformerMSE0.88Unverified
2QuerySelectorMSE0.85Unverified
3TransformerMSE0.83Unverified
4AarenMSE0.65Unverified
5RPMixerMSE0.52Unverified
6MOIRAILargeMSE0.51Unverified
7ATFNetMSE0.51Unverified
8AutoformerMSE0.51Unverified
9SCINetMSE0.5Unverified
10S-MambaMSE0.49Unverified
#ModelMetricClaimedVerifiedStatus
1QuerySelectorMSE1.12Unverified
2TransformerMSE1.11Unverified
3InformerMSE0.94Unverified
4GLinearMSE0.59Unverified
5SCINetMSE0.54Unverified
6MoLE-DLinearMSE0.51Unverified
7PRformerMSE0.49Unverified
8TEFNMSE0.48Unverified
9DLinearMSE0.47Unverified
10FiLMMSE0.47Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE2.66Unverified
2QuerySelectorMSE2.32Unverified
3InformerMSE1.67Unverified
4DLinearMSE0.45Unverified
5TEFNMSE0.42Unverified
6MoLE-DLinearMSE0.42Unverified
7FiLMMSE0.38Unverified
8MoLE-RLinearMSE0.37Unverified
9SCINetMSE0.37Unverified
10PRformerMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TransformerMSE3.18Unverified
2QuerySelectorMSE3.07Unverified
3InformerMSE2.34Unverified
4MoLE-DLinearMSE0.61Unverified
5DLinearMSE0.61Unverified
6SCINetMSE0.48Unverified
7FiLMMSE0.44Unverified
8TEFNMSE0.43Unverified
9TiDEMSE0.42Unverified
10MoLE-RLinearMSE0.41Unverified
#ModelMetricClaimedVerifiedStatus
1MoLE-DLinearMSE0.45Unverified
2TEFNMSE0.43Unverified
3FiLMMSE0.41Unverified
4PatchTST/64MSE0.41Unverified
5TiDEMSE0.41Unverified
6NLinearMSE0.41Unverified
7DiPE-LinearMSE0.41Unverified
8DLinearMSE0.41Unverified
9RLinearMSE0.4Unverified
10MoLE-RLinearMSE0.4Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.38Unverified
2TEFNMSE0.38Unverified
3MoLE-DLinearMSE0.36Unverified
4FiLMMSE0.36Unverified
5NLinearMSE0.34Unverified
6PatchTST/64MSE0.34Unverified
7MoLE-RLinearMSE0.34Unverified
8LTBoost (drop_last=false)MSE0.33Unverified
9PRformerMSE0.33Unverified
10TiDEMSE0.33Unverified
#ModelMetricClaimedVerifiedStatus
1DLinearMSE0.29Unverified
2TEFNMSE0.29Unverified
3MoLE-DLinearMSE0.29Unverified
4FiLMMSE0.28Unverified
5NLinearMSE0.28Unverified
6TSMixerMSE0.28Unverified
7DiPE-LinearMSE0.28Unverified
8PatchTST/64MSE0.27Unverified
9MoLE-RLinearMSE0.27Unverified
10TiDEMSE0.27Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.38Unverified
2MoLE-DLinearMSE0.38Unverified
3MoLE-RLinearMSE0.38Unverified
4TiDEMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified