Method for the computer-aided creation of a forecast model for forecasting one or more target variables (tar), wherein the target variable(s) (tar) form(s) a target vector which is assigned an input vector from one or more input variables (inp), and wherein the target variable(s) (tar) of the target vector can be forecast by means of the forecast model on the basis of the input variable(s) (inp) of the assigned input vector, wherein the forecast model is configured to forecast one or more target variables (tar) of a technical system on the basis of one or more input variables (inp) of the technical system, characterized in that: - a simulation-based model and a data-driven model are provided for the purpose of forecasting a target vector on the basis of an assigned input vector, wherein the simulation-based model analytically models the relationship between target vectors and assigned input vectors and the data-driven model is trained on the basis of a plurality of training data sets each comprising an observed target vector and an assigned observed input vector; - a first forecast error measure is determined for the simulation-based model comprising one or more error values on the basis of a plurality of validation data sets each comprising an observed target vector and an assigned observed input vector, wherein the first forecast error measure depends on respective forecast errors of the simulation-based model for respective validation data sets of the plurality of validation data sets; - a second forecast error measure is determined for the data-driven model comprising one or more error values on the basis of the plurality of validation data sets, wherein the second forecast error measure depends on respective forecast errors of the data-driven model for respective validation data sets of the plurality of validation data sets; - a first weight and a second weight are determined on the basis of a predefined rule which depends on the first and second forecast error measures (FM1, FM2), and the forecast model is determined in such a manner that a target vector forecast by means of the forecast model is a weighted combination formed from a first vector in the form of a target vector, which is forecast from the assigned input vector using the simulation-based model, and a second vector in the form of a target vector, which is forecast from the assigned input vector using the data-driven model, wherein the first vector is weighted with the first weight and the second vector is weighted with the second weight. - a simulation-based model and a data-driven model are provided for the purpose of forecasting a target vector on the basis of an assigned input vector, wherein the simulation-based model analytically models the relationship between target vectors and assigned input vectors and the data-driven model is trained on the basis of a plurality of training data sets each comprising an observed target vector and an assigned observed input vector; - a first forecast error measure is determined for the simulation-based model comprising one or more error values on the basis of a plurality of validation data sets each comprising an observed target vector and an assigned observed input vector, wherein the first forecast error measure depends on respective forecast errors of the simulation-based model for respective validation data sets of the plurality of validation data sets; - a second forecast error measure is determined for the data-driven model comprising one or more error values on the basis of the plurality of validation data sets, wherein the second forecast error measure depends on respective forecast errors of the data-driven model for respective validation data sets of the plurality of validation data sets; - a first weight and a second weight are determined on the basis of a predefined rule which depends on the first and second forecast error measures (FM1, FM2), and the forecast model is determined in such a manner that a target vector forecast by means of the forecast model is a weighted combination formed from a first vector in the form of a target vector, which is forecast from the assigned input vector using the simulation-based model, and a second vector in the form of a target vector, which is forecast from the assigned input vector using the data-driven model, wherein the first vector is weighted with the first weight and the second vector is weighted with the second weight.