Time Series Generation

Time series generation refers to the process of using algorithmic models to create new time series data based on existing time series data. The goal is to predict future trends or fill in missing values by simulating the statistical characteristics of historical data. Time series generation has significant application value in fields such as finance, meteorology, and healthcare, enhancing the accuracy and reliability of decision support systems.