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 751800 of 1609 papers

TitleStatusHype
Graph Deep Learning for Time Series Forecasting0
Day-ahead time series forecasting: application to capacity planning0
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation0
InjectTST: A Transformer Method of Injecting Global Information into Independent Channels for Long Time Series Forecasting0
In Search of Deep Learning Architectures for Load Forecasting: A Comparative Analysis and the Impact of the Covid-19 Pandemic on Model Performance0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach0
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT0
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series0
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation0
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics0
Goal-Oriented Time-Series Forecasting: Foundation Framework Design0
Data-driven Neural Architecture Learning For Financial Time-series Forecasting0
Long Short-term Memory RNN0
G-NM: A Group of Numerical Time Series Prediction Models0
Data Driven Decision Making with Time Series and Spatio-temporal Data0
Data Augmentation in Time Series Forecasting through Inverted Framework0
CUQDS: Conformal Uncertainty Quantification under Distribution Shift for Trajectory Prediction0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting0
Long-term prediction of El Niño-Southern Oscillation using reservoir computing with data-driven realtime filter0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting0
A Mamba Foundation Model for Time Series Forecasting0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset0
Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction0
iTFKAN: Interpretable Time Series Forecasting with Kolmogorov-Arnold Network0
It is all Connected: A New Graph Formulation for Spatio-Temporal Forecasting0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting0
Attention as Robust Representation for Time Series Forecasting0
Joint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values0
Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting0
Local Cold Load Pick-up Estimation Using Customer Energy Consumption Measurements0
Generative Probabilistic Time Series Forecasting and Applications in Grid Operations0
Generative forecasting of brain activity enhances Alzheimer's classification and interpretation0
DAM: Towards A Foundation Model for Time Series Forecasting0
KEDformer:Knowledge Extraction Seasonal Trend Decomposition for Long-term Sequence Prediction0
KENN: Enhancing Deep Neural Networks by Leveraging Knowledge for Time Series Forecasting0
Kernel-U-Net: Multivariate Time Series Forecasting using Custom Kernels0
Knowledge-enhanced Transformer for Multivariate Long Sequence Time-series Forecasting0
KODA: A Data-Driven Recursive Model for Time Series Forecasting and Data Assimilation using Koopman Operators0
Local vs. Global Models for Hierarchical Forecasting0
Generative AI-driven forecasting of oil production0
Development and Evaluation of Recurrent Neural Network based Models for Hourly Traffic Volume and AADT Prediction0
Koopman Neural Forecaster for Time Series with Temporal Distribution Shifts0
KPF-AE-LSTM: A Deep Probabilistic Model for Net-Load Forecasting in High Solar Scenarios0
Generalized Mixture Model for Extreme Events Forecasting in Time Series Data0
Differentiable Neural Architecture Search with Morphism-based Transformable Backbone Architectures0
LangTime: A Language-Guided Unified Model for Time Series Forecasting with Proximal Policy Optimization0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting0
Generalisation in fully-connected neural networks for time series forecasting0
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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
4DLinearMSE0.61Unverified
5MoLE-DLinearMSE0.61Unverified
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
8TiDEMSE0.33Unverified
9LTBoost (drop_last=false)MSE0.33Unverified
10PRformerMSE0.33Unverified
#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
3TiDEMSE0.38Unverified
4MoLE-RLinearMSE0.38Unverified
5FiLMMSE0.37Unverified
6PatchTST/64MSE0.37Unverified
7DiPE-LinearMSE0.37Unverified
8TSMixerMSE0.37Unverified
9RLinearMSE0.37Unverified
10TTMMSE0.36Unverified
#ModelMetricClaimedVerifiedStatus
1TEFNMSE0.23Unverified
2DLinearMSE0.22Unverified