Comprehensive performance assessment of a solid desiccant wheel using an artificial neural network approach

•The most important desiccant wheel parameters are considered in the artificial neural network model.•The general trained ANN model predicts DW behavior for arbitrary input parameters.•The volume of the training database is determined by a comprehensive sensitivity analysis.•Various DW ANN models are trained to find the most accurate.•The obtained ANN model predictions are validated with experimental measurements.