Automatisk viktning av onlinekorrigering för prognoser
This report aims at finding methods for reducing the errors in district heating load forecasts by suggesting a method for online correction of the base forecast. Online correction is generally carried out by utilizing patterns in the historic prediction errors. Traditionally the correction has been made using a correction method detailed by a few governing parameters. Values for these parameters a
