When a series of consumption values is analyzed, it normally reveals a pattern or patterns. These patterns can then be matched up with one of the forecast models listed below:

• Constant¾consumption values vary very little from a stable mean value

• Trend¾consumption values fall or rise constantly over a long period of time with only occasional deviations

• Seasonal¾periodically recurring peak or low values differ significantly from a stable mean value

• Seasonal trend¾continual increase or decrease in the mean value

• Copy of actual data (no forecast is executed)¾copies the historical data updated from the operative application, which you can then edit

• Irregular¾no pattern can be detected in a series of historical consumption values