Sum Squared Error (SSE) is an accuracy measure where the errors are squared, then added. It is used to determine the accuracy of the forecasting model when the data points are similar in magnitude. The lower the SSE the more accurate the forecast. Understanding this accuracy statistic will help you choose which forecasting model best fits your data.