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
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability0
Hypercomplex neural network in time series forecasting of stock data0
HyperIMTS: Hypergraph Neural Network for Irregular Multivariate Time Series Forecasting0
HySim: An Efficient Hybrid Similarity Measure for Patch Matching in Image Inpainting0
Identification of market trends with string and D2-brane maps0
IIP-Mixer:Intra-Inter Patch Mixing Architecture for Battery Remaining Useful Life Prediction0
Image Processing Tools for Financial Time Series Classification0
Impact of Data Normalization on Deep Neural Network for Time Series Forecasting0
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
Improving Accuracy Without Losing Interpretability: A ML Approach for Time Series Forecasting0
Improving forecasting accuracy of time series data using a new ARIMA-ANN hybrid method and empirical mode decomposition0
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
In-context Time Series Predictor0
Increasing Server Availability for Overall System Security: A Preventive Maintenance Approach Based on Failure Prediction0
Industrial Forecasting with Exponentially Smoothed Recurrent Neural Networks0
Infomaxformer: Maximum Entropy Transformer for Long Time-Series Forecasting Problem0
Informed Forecasting: Leveraging Auxiliary Knowledge to Boost LLM Performance on Time Series Forecasting0
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
Integer-only Quantized Transformers for Embedded FPGA-based Time-series Forecasting in AIoT0
Integration of Mamba and Transformer -- MAT for Long-Short Range Time Series Forecasting with Application to Weather Dynamics0
Interpretable Deep Learning for Forecasting Online Advertising Costs: Insights from the Competitive Bidding Landscape0
Interpretable Vital Sign Forecasting with Model Agnostic Attention Maps0
Inter-Series Transformer: Attending to Products in Time Series Forecasting0
Exploring the Role of Token in Transformer-based Time Series Forecasting0
Introducing Randomized High Order Fuzzy Cognitive Maps as Reservoir Computing Models: A Case Study in Solar Energy and Load Forecasting0
Is Channel Independent strategy optimal for Time Series Forecasting?0
Is Precise Recovery Necessary? A Task-Oriented Imputation Approach for Time Series Forecasting on Variable Subset0
Ister: Inverted Seasonal-Trend Decomposition Transformer for Explainable Multivariate Time Series Forecasting0
Physiome-ODE: A Benchmark for Irregularly Sampled Multivariate Time Series Forecasting Based on Biological ODEs0
p-Markov Gaussian Processes for Scalable and Expressive Online Bayesian Nonparametric Time Series Forecasting0
Position-based Content Attention for Time Series Forecasting with Sequence-to-sequence RNNs0
Position: There are no Champions in Long-Term Time Series Forecasting0
Power Line Communication and Sensing Using Time Series Forecasting0
Perceiver-based CDF Modeling for Time Series Forecasting0
Precipitation Nowcasting: Leveraging bidirectional LSTM and 1D CNN0
Predicting Bad Goods Risk Scores with ARIMA Time Series: A Novel Risk Assessment Approach0
Predicting Chaotic System Behavior using Machine Learning Techniques0
Predicting Company Growth by Econophysics informed Machine Learning0
Predicting Electricity Consumption with Random Walks on Gaussian Processes0
Predicting Solar Energy Generation with Machine Learning based on AQI and Weather Features0
Predicting the Future is like Completing a Painting!0
Predicting the structure of dynamic graphs0
Prediction-Coherent LSTM-based Recurrent Neural Network for Safer Glucose Predictions in Diabetic People0
Predictive Process Model Monitoring using Recurrent 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
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