If a constant step can't be identified in the provided timeline, Forecast.ETS will return the #NUM! error. The timeline isn't required to be sorted, as FORECAST.ETS will sort it implicitly for calculations. The dates in the timeline must have a consistent step between them and can’t be zero. The independent array or range of numeric data. Values are the historical values, for which you want to forecast the next points. If the target date is chronologically before the end of the historical timeline, FORECAST.ETS returns the #NUM! error. The data point for which you want to predict a value.
The FORECAST.ETS function syntax has the following arguments: SyntaxįORECAST.ETS(target_date, values, timeline,, , ) For this type of timeline, it’s very useful to aggregate raw detailed data before you apply the forecast, which produces more accurate forecast results as well. For example, that could be a monthly timeline with values on the 1st of every month, a yearly timeline, or a timeline of numerical indices.
This function requires the timeline to be organized with a constant step between the different points. You can use this function to predict future sales, inventory requirements, or consumer trends. The predicted value is a continuation of the historical values in the specified target date, which should be a continuation of the timeline. LessĬalculates or predicts a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm. Excel for Microsoft 365 Excel for Microsoft 365 for Mac Excel 2021 Excel 2021 for Mac Excel 2019 Excel 2019 for Mac Excel 2016 Excel 2016 for Mac More.
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