{"id":195,"date":"2025-07-15T13:34:46","date_gmt":"2025-07-15T13:34:46","guid":{"rendered":"https:\/\/functiontranslator.com\/2021\/02\/12\/forecast-ets\/"},"modified":"2021-02-13T11:34:07","modified_gmt":"2021-02-13T11:34:07","slug":"forecast-ets","status":"publish","type":"post","link":"https:\/\/functiontranslator.com\/en\/forecast-ets\/","title":{"rendered":"FORECAST.ETS"},"content":{"rendered":"<p>Below is a detailed guide on how to use the FORECAST.ETS function in both Microsoft Excel and Google Sheets.<\/p>\n<h2>Overview<\/h2>\n<p>The FORECAST.ETS function is designed to predict future values within a time series, utilizing historical data for its calculations. This function is available in Excel from the 2016 version onward, and it is also supported in Google Sheets under the same function name.<\/p>\n<h2>Syntax<\/h2>\n<p>The syntax for the FORECAST.ETS function is as follows:<\/p>\n<pre><code>=FORECAST.ETS(target_date, values, timeline, [seasonality], [data completion], [aggregation])<\/code><\/pre>\n<ul>\n<li><code>target_date<\/code>: The date for which you are forecasting a value.<\/li>\n<li><code>values<\/code>: The array or range of known values from the time series.<\/li>\n<li><code>timeline<\/code>: The array or range of timeline values that correspond to the known values.<\/li>\n<li><code>seasonality<\/code> (optional): The length of the seasonal pattern, which can be set to levels such as &#8220;No Seasonality&#8221;, &#8220;Daily&#8221;, &#8220;Weekly&#8221;, &#8220;Monthly&#8221;, or &#8220;Yearly&#8221;.<\/li>\n<li><code>data completion<\/code> (optional): How to handle missing data, options include &#8220;Error&#8221;, &#8220;Zero&#8221;, or &#8220;Linear&#8221;.<\/li>\n<li><code>aggregation<\/code> (optional): The method of data aggregation, selectable as &#8220;Data&#8221;, &#8220;Auto&#8221;, &#8220;None&#8221;, &#8220;Full&#8221;, or &#8220;Partial&#8221;.<\/li>\n<\/ul>\n<h2>Examples<\/h2>\n<p>Let\u2019s examine some practical applications of the FORECAST.ETS function:<\/p>\n<table>\n<tr>\n<th>Date<\/th>\n<th>Sales<\/th>\n<\/tr>\n<tr>\n<td>1\/1\/2021<\/td>\n<td>100<\/td>\n<\/tr>\n<tr>\n<td>2\/1\/2021<\/td>\n<td>150<\/td>\n<\/tr>\n<tr>\n<td>3\/1\/2021<\/td>\n<td>200<\/td>\n<\/tr>\n<tr>\n<td>4\/1\/2021<\/td>\n<td>250<\/td>\n<\/tr>\n<\/table>\n<p>Given the above data set is in cells A1:B4, the formula to forecast sales for 5\/1\/2021 would be:<\/p>\n<pre><code>=FORECAST.ETS(\"5\/1\/2021\", B2:B5, A2:A5)<\/code><\/pre>\n<p>In this expression:<\/p>\n<ul>\n<li><code>\"5\/1\/2021\"<\/code> is the target date for which the forecast is being made.<\/li>\n<li><code>B2:B5<\/code> represents the range of past sales data.<\/li>\n<li><code>A2:A5<\/code> corresponds to the dates for the sales data.<\/li>\n<\/ul>\n<p>If necessary, you can add parameters for seasonality, data completion, and aggregation to tailor the forecast to specific needs.<\/p>\n<p>By utilizing this guide, you can proficiently employ the FORECAST.ETS function in both Excel and Google Sheets to estimate future values based on historical time series data.<\/p>\n","protected":false},"excerpt":{"rendered":"<p>Returns a future value based on existing (historical) values by using the AAA version of the Exponential Smoothing (ETS) algorithm<\/p>\n","protected":false},"author":1,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[203],"tags":[],"class_list":["post-195","post","type-post","status-publish","format-standard","hentry","category-statistical"],"acf":[],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v23.8 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>Excel FORECAST.ETS Function \u2013 How It Works, Formula Examples and Syntax<\/title>\n<meta name=\"description\" content=\"Learn what the Excel FORECAST.ETS function does. 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