Time Series Averaging

Time series averaging is a technique for processing time series data that aims to extract typical patterns or trends by calculating the average of multiple time series. This method can effectively reduce noise, enhance the stability and interpretability of the data, and is widely used in fields such as financial analysis, signal processing, and weather forecasting to support more accurate decision-making and predictions.