A method for a power network, comprising: performing, by an electronic device, an automatic classification procedure for a condition classification of a power network asset (11, 20, 25), wherein the automatic classification procedure is operative to assign the power network asset (11, 20, 25) to one of at least two different classes that comprise a class indicating that the power network asset (11, 20, 25) operates normally and a class indicating that the power network asset (11, 20, 25) requires attention, wherein the automatic classification procedure performs the condition classification using a set of parameter values as inputs, wherein only a subset of the set of parameter values is available for the power network asset (11, 20, 25) and at least one parameter value of the set is not available for the power network asset (11, 20, 25), wherein the subset of parameter values that is available for the power network asset (11, 20, 25) includes parameter values provided by sensors (21, 22, 26, 27) installed on the power network asset (11, 20, 25); performing, by the electronic device, a missing data replacement procedure to determine at least one substitute parameter value, wherein the missing data replacement procedure is selected from a group consisting of the following procedures: - using a default value; - using a mean or median value of a statistical distribution; - using a random value determined in accordance with a statistical distribution; - hard value imputation; - using a value determined based on parameter multivariate correlations; using the subset of parameter values and the at least one substitute parameter value in combination as inputs for the automatic classification procedure to obtain the condition classification of the power network asset (11, 20, 25). performing, by an electronic device, an automatic classification procedure for a condition classification of a power network asset (11, 20, 25), wherein the automatic classification procedure is operative to assign the power network asset (11, 20, 25) to one of at least two different classes that comprise a class indicating that the power network asset (11, 20, 25) operates normally and a class indicating that the power network asset (11, 20, 25) requires attention, wherein the automatic classification procedure performs the condition classification using a set of parameter values as inputs, wherein only a subset of the set of parameter values is available for the power network asset (11, 20, 25) and at least one parameter value of the set is not available for the power network asset (11, 20, 25), wherein the subset of parameter values that is available for the power network asset (11, 20, 25) includes parameter values provided by sensors (21, 22, 26, 27) installed on the power network asset (11, 20, 25); performing, by the electronic device, a missing data replacement procedure to determine at least one substitute parameter value, wherein the missing data replacement procedure is selected from a group consisting of the following procedures: - using a default value; - using a mean or median value of a statistical distribution; - using a random value determined in accordance with a statistical distribution; - hard value imputation; - using a value determined based on parameter multivariate correlations; - using a default value; - using a mean or median value of a statistical distribution; - using a random value determined in accordance with a statistical distribution; - hard value imputation; - using a value determined based on parameter multivariate correlations; using the subset of parameter values and the at least one substitute parameter value in combination as inputs for the automatic classification procedure to obtain the condition classification of the power network asset (11, 20, 25).