Supercomputing Academy: Time Series Forecasting

Time series forecasting has gained particular attention in recent years because it can provide a fundamental insight into the future by analyzing historical data, assuming that future trends are similar to those that occurred in the past. The primary value of using time series for forecasting is that at business time, future trends and outcomes are not fully available and can only be estimated using historical forecasts. This technology is vital in many fields to understand current seasonal trends and fit their data to the flow of time. Time series forecasting has important applications in weather forecasting, business, healthcare, and finance.