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 701750 of 1609 papers

TitleStatusHype
Learning Interpretable Deep State Space Model for Probabilistic Time Series Forecasting0
Hierarchical Proxy Modeling for Improved HPO in Time Series Forecasting0
High-dimensional Multivariate Time Series Forecasting in IoT Applications using Embedding Non-stationary Fuzzy Time Series0
Higher Order Transformers: Efficient Attention Mechanism for Tensor Structured Data0
High Significant Fault Detection in Azure Core Workload Insights0
HiMTM: Hierarchical Multi-Scale Masked Time Series Modeling for Long-Term Forecasting0
Learning Latent Spaces for Domain Generalization in Time Series Forecasting0
HiPPO-KAN: Efficient KAN Model for Time Series Analysis0
Historical Inertia: A Neglected but Powerful Baseline for Long Sequence Time-series Forecasting0
Grey-informed neural network for time-series forecasting0
How Does Forecasting Affect the Convergence of DRL Techniques in O-RAN Slicing?0
How Expressive are Spectral-Temporal Graph Neural Networks for Time Series Forecasting?0
AutoAI-TS: AutoAI for Time Series Forecasting0
How Much Can A Retailer Sell? Sales Forecasting on Tmall0
Decentralized Flood Forecasting Using Deep Neural Networks0
A CNN–LSTM model for gold price time-series forecasting0
HQNN-FSP: A Hybrid Classical-Quantum Neural Network for Regression-Based Financial Stock Market Prediction0
Deep Learning for Epidemiological Predictions0
Attention-Based Reading, Highlighting, and Forecasting of the Limit Order Book0
Graph-enabled Reinforcement Learning for Time Series Forecasting with Adaptive Intelligence0
Hybrid Model for Anomaly Detection on Call Detail Records by Time Series Forecasting0
Hybrid Variational Autoencoder for Time Series Forecasting0
Graph Deep Learning for Time Series Forecasting0
Day-ahead time series forecasting: application to capacity planning0
Deep Learning for Time Series Forecasting: A Survey0
Hypercomplex neural network in time series forecasting of stock data0
DATSING: Data Augmented Time Series Forecasting with Adversarial Domain Adaptation0
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting0
Attention-based Neural Load Forecasting: A Dynamic Feature Selection Approach0
Identification of market trends with string and D2-brane maps0
Learning Graph Structures and Uncertainty for Accurate and Calibrated Time-series Forecasting0
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction0
Graph-Augmented LSTM for Forecasting Sparse Anomalies in Graph-Structured Time Series0
Image Processing Tools for Financial Time Series Classification0
Graph Attention Recurrent Neural Networks for Correlated Time Series Forecasting -- Full version0
Implementing a new fully stepwise decomposition-based sampling technique for the hybrid water level forecasting model in real-world application0
Implicit Reasoning in Deep Time Series Forecasting0
Improved Genetic Algorithm Based on Greedy and Simulated Annealing Ideas for Vascular Robot Ordering Strategy0
Data-Driven vs Traditional Approaches to Power Transformer's Top-Oil Temperature Estimation0
Goal-Oriented Time-Series Forecasting: Foundation Framework Design0
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition0
Deep Neural Networks for Approximating Stream Reasoning with C-SPARQL0
Improving the Decision-Making Process of Self-Adaptive Systems by Accounting for Tactic Volatility0
Improving the Transferability of Time Series Forecasting with Decomposition Adaptation0
Improving Time Series Forecasting via Instance-aware Post-hoc Revision0
IMTS-Mixer: Mixer-Networks for Irregular Multivariate Time Series Forecasting0
Data-driven Neural Architecture Learning For Financial Time-series Forecasting0
Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction0
Deep Probabilistic Koopman: Long-term time-series forecasting under periodic uncertainties0
Learning from Multiple Time Series: A Deep Disentangled Approach to Diversified 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
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