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 15011550 of 1609 papers

TitleStatusHype
sktime: A Unified Interface for Machine Learning with Time Series0
Self-boosted Time-series Forecasting with Multi-task and Multi-view Learning0
Real Time Trajectory Prediction Using Deep Conditional Generative ModelsCode0
Recovery of Future Data via Convolution Nuclear Norm MinimizationCode0
Port-Hamiltonian Approach to Neural Network TrainingCode0
Recurrent Neural Networks for Time Series Forecasting: Current Status and Future DirectionsCode0
Feedback System Neural Networks for Inferring Causality in Directed Cyclic Graphs0
The Wiki Music dataset: A tool for computational analysis of popular music0
Time series model selection with a meta-learning approach; evidence from a pool of forecasting algorithms0
Quantile Convolutional Neural Networks for Value at Risk Forecasting0
Mixed pooling of seasonality for time series forecasting: An application to pallet transport data0
Deep Generative Quantile-Copula Models for Probabilistic Forecasting0
Deep Learning for Time Series Forecasting: The Electric Load CaseCode0
A hybrid method of Exponential Smoothing and Recurrent Neural Networks for time series forecastingCode0
A machine learning framework for computationally expensive transient modelsCode0
Fast ES-RNN: A GPU Implementation of the ES-RNN AlgorithmCode0
Analysis of Wide and Deep Echo State Networks for Multiscale Spatiotemporal Time Series Forecasting0
Streaming Adaptation of Deep Forecasting Models using Adaptive Recurrent UnitsCode0
A Review of Deep Learning with Special Emphasis on Architectures, Applications and Recent Trends0
Evaluating time series forecasting models: An empirical study on performance estimation methodsCode0
STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand ForecastingCode0
Online Collection and Forecasting of Resource Utilization in Large-Scale Distributed Systems0
A self-organising eigenspace map for time series clustering0
Think Globally, Act Locally: A Deep Neural Network Approach to High-Dimensional Time Series ForecastingCode0
Temporal Attention Augmented Bilinear Network for Financial Time Series Data AnalysisCode0
Sequence to sequence deep learning models for solar irradiation forecasting0
Curriculum Learning in Deep Neural Networks for Financial Forecasting0
Probabilistic Forecasting of Sensory Data with Generative Adversarial Networks - ForGANCode0
GRATIS: GeneRAting TIme Series with diverse and controllable characteristicsCode0
Autoregressive Convolutional Recurrent Neural Network for Univariate and Multivariate Time Series PredictionCode0
Data-driven Neural Architecture Learning For Financial Time-series Forecasting0
Generalisation in fully-connected neural networks for time series forecasting0
Decentralized Flood Forecasting Using Deep Neural Networks0
A Spatial-Temporal Decomposition Based Deep Neural Network for Time Series Forecasting0
Short-term Demand Forecasting for Online Car-hailing Services using Recurrent Neural Networks0
Temporal Logistic Neural Bag-of-Features for Financial Time series Forecasting leveraging Limit Order Book Data0
ST-LSTM: A Deep Learning Approach Combined Spatio-Temporal Features for Short-TermCode0
Recurrent Neural Networks for Time Series Forecasting0
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition0
Forecasting Cardiology Admissions from Catheterization Laboratory0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting0
A Hybrid Distribution Feeder Long-Term Load Forecasting Method Based on Sequence Prediction0
Learning Individualized Cardiovascular Responses from Large-scale Wearable Sensors Data0
Deep State Space Models for Time Series Forecasting0
Multi-step Time Series Forecasting Using Ridge Polynomial Neural Network with Error-Output Feedbacks0
Multivariate Forecasting of Crude Oil Spot Prices using Neural Networks0
Memory In Memory: A Predictive Neural Network for Learning Higher-Order Non-Stationarity from Spatiotemporal DynamicsCode0
Day-ahead time series forecasting: application to capacity planning0
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN0
Genetic Algorithm-Optimized Long Short-Term Memory Network for Stock Market Prediction0
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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