Univariate Time Series Forecasting

Univariate Time Series Forecasting refers to the prediction of future values at a certain point in time based on single-variable time series data, by analyzing its historical trends and patterns. This method aims to capture the autocorrelation within the time series and employs statistical and machine learning models for accurate forecasting. It is widely used in fields such as economics, finance, and meteorology, providing a scientific basis for corporate decision-making and risk control.