Correlated Time Series Forecasting
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Benchmarks
Most implemented
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Papers
Temporal Query Network for Efficient Multivariate Time Series Forecasting
Sufficiently modeling the correlations among variables (aka channels) is crucial for achieving accurate multivariate time series forecasting (MTSF). In this paper, we propose a novel technique called Temporal Query (TQ) …
Correlated Time Series ForecastingMultivariate Time Series ForecastingTime SeriesTime Series ForecastingFully Automated Correlated Time Series Forecasting in Minutes
Societal and industrial infrastructures and systems increasingly leverage sensors that emit correlated time series. Forecasting of future values of such time series based on recorded historical values has important benef…
Correlated Time Series ForecastingTime SeriesTime Series ForecastingLearning Time-aware Graph Structures for Spatially Correlated Time Series Forecasting
Spatio-temporal forecasting of future values of spatially correlated time series is important across many cyber-physical systems (CPS). Recent studies offer evidence that the use of graph neural networks to capture laten…
Contrastive LearningCorrelated Time Series ForecastingGraph structure learningSelf-Learning+3Correlated Time Series Self-Supervised Representation Learning via Spatiotemporal Bootstrapping
Correlated time series analysis plays an important role in many real-world industries. Learning an efficient representation of this large-scale data for further downstream tasks is necessary but challenging. In this pape…
Correlated Time Series ForecastingRepresentation LearningTime SeriesTime Series Analysis+1LightCTS: A Lightweight Framework for Correlated Time Series Forecasting
Correlated time series (CTS) forecasting plays an essential role in many practical applications, such as traffic management and server load control. Many deep learning models have been proposed to improve the accuracy of…
Computational EfficiencyCorrelated Time Series ForecastingMultivariate Time Series ForecastingTime Series+4Joint Neural Architecture and Hyperparameter Search for Correlated Time Series Forecasting
Sensors in cyber-physical systems often capture interconnected processes and thus emit correlated time series (CTS), the forecasting of which enables important applications. The key to successful CTS forecasting is to un…
Correlated Time Series ForecastingTime SeriesTime Series AnalysisTime Series Forecasting