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 10511100 of 1609 papers

TitleStatusHype
Cherry-Picking in Time Series Forecasting: How to Select Datasets to Make Your Model Shine0
Chimera: Effectively Modeling Multivariate Time Series with 2-Dimensional State Space Models0
ChronoSteer: Bridging Large Language Model and Time Series Foundation Model via Synthetic Data0
ChronosX: Adapting Pretrained Time Series Models with Exogenous Variables0
CITRAS: Covariate-Informed Transformer for Time Series Forecasting0
CLeaRForecast: Contrastive Learning of High-Purity Representations for Time Series Forecasting0
Cluster-and-Conquer: A Framework For Time-Series Forecasting0
Cognitive Computing to Optimize IT Services0
Combating Uncertainties in Wind and Distributed PV Energy Sources Using Integrated Reinforcement Learning and Time-Series Forecasting0
COMBINED FLEXIBLE ACTIVATION FUNCTIONS FOR DEEP NEURAL NETWORKS0
Combining Embeddings and Fuzzy Time Series for High-Dimensional Time Series Forecasting in Internet of Energy Applications0
Combining time-series and textual data for taxi demand prediction in event areas: a deep learning approach0
Comparative analysis of financial data differentiation techniques using LSTM neural network0
Comparative Analysis of Machine Learning, Hybrid, and Deep Learning Forecasting Models Evidence from European Financial Markets and Bitcoins0
Comparative analysis of Mixed-Data Sampling (MIDAS) model compared to Lag-Llama model for inflation nowcasting0
Comparative Analysis of Time Series Forecasting Approaches for Household Electricity Consumption Prediction0
Comparative Study of Predicting Stock Index Using Deep Learning Models0
Comparing statistical and machine learning methods for time series forecasting in data-driven logistics -- A simulation study0
Comparison of ARIMA, ETS, NNAR and hybrid models to forecast the second wave of COVID-19 hospitalizations in Italy0
Comparison of Traditional and Hybrid Time Series Models for Forecasting COVID-19 Cases0
Conditional Mutual information-based Contrastive Loss for Financial Time Series Forecasting0
Conformalised Conditional Normalising Flows for Joint Prediction Regions in time series0
Construction Cost Index Forecasting: A Multi-feature Fusion Approach0
Construction of neural networks for realization of localized deep learning0
Context Matters: Leveraging Contextual Features for Time Series Forecasting0
Context Neural Networks: A Scalable Multivariate Model for Time Series Forecasting0
Continuous Evolution Pool: Taming Recurring Concept Drift in Online Time Series Forecasting0
Continuous-Time Linear Positional Embedding for Irregular Time Series Forecasting0
ConvTimeNet: A Deep Hierarchical Fully Convolutional Model for Multivariate Time Series Analysis0
CoRe: Coherency Regularization for Hierarchical Time Series0
Core Network Management Procedures for Self-Organized and Sustainable 5G Cellular Networks0
Correlated Time Series Forecasting using Deep Neural Networks: A Summary of Results0
COVID-19 Outbreak Prediction and Analysis using Self Reported Symptoms0
Cross-Frequency Time Series Meta-Forecasting0
Cross-LKTCN: Modern Convolution Utilizing Cross-Variable Dependency for Multivariate Time Series Forecasting Dependency for Multivariate Time Series Forecasting0
Correlation recurrent units: A novel neural architecture for improving the predictive performance of time-series data0
cs-net: structural approach to time-series forecasting for high-dimensional feature space data with limited observations0
Curriculum Learning in Deep Neural Networks for Financial Forecasting0
Curse of Attention: A Kernel-Based Perspective for Why Transformers Fail to Generalize on Time Series Forecasting and Beyond0
CVTN: Cross Variable and Temporal Integration for Time Series Forecasting0
DAM: Towards A Foundation Model for Time Series Forecasting0
CSformer: Combining Channel Independence and Mixing for Robust Multivariate Time Series Forecasting0
DANLIP: Deep Autoregressive Networks for Locally Interpretable Probabilistic Forecasting0
Data Augmentation in Time Series Forecasting through Inverted Framework0
Data Driven Decision Making with Time Series and Spatio-temporal Data0
Data-driven Neural Architecture Learning For Financial Time-series Forecasting0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation0
Day-ahead time series forecasting: application to capacity planning0
Decentralized Flood Forecasting Using Deep Neural Networks0
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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