Correlated Time Series Forecasting

Correlated Time Series Forecasting refers to the method of predicting future values at a certain point in time through analyzing the interdependencies among multiple related time series data. This approach aims to capture the dynamic correlations between different sequences, enhancing the accuracy and reliability of predictions. It is widely applied in fields such as finance, economics, environmental monitoring, etc., and holds significant value for modeling complex systems and supporting decision-making.