Forecasting based on a collection of data

A method of forecasting based on time series data, comprising:

• receiving initial time series data having a first length;
• in response to determining that the first length of the initial time series data is insufficient for performing forecasting using a forecasting algorithm, predicting additional data values for time points prior to a beginning of the initial time series data;
• combining the predicted additional data values with the initial time series data to form a lengthened time series data;
• and
• applying the forecasting algorithm on the lengthened time series data.

Instructions on a computer-usable storage medium containing instructions that when executed cause a computer to:

• receive an initial collection of data having a first length;
• in response to determining that the first length of the initial collection of data is insufficient for performing forecasting using a forecasting algorithm, reverse an order of the initial collection of data to provide a reversed collection of data;
• apply forecasting on the reversed collection of data to estimate additional data values to combine with the initial collection of data to provide a second collection of data having a second length greater than the first length;
• and
• apply the forecasting algorithm on the second collection of data.