Timestamp attributes can be very informative for certain forecasting applications. A common feature engineering technique that allows one to utilize information from these types of features is to extract components from a timestamp, such as the year, month, day, or hour. More complicated dimensions such as whether the day is a weekend, holiday, or business day can also be highly predictive in certain contexts, such as sales.
