Principal Component Based Sampling for the Continuous Maintenance of Hydraulic Models

•Accurate models are needed for the digitalisation and control of water systems•Machine learning and optimization methods are combined with physical models•PCA-based sampling identifies beneficial hydraulic states for model fitting•Batches of data of any size can be considered for updating the hydraulic model•Three months of recorded hydraulic data confirms temporal predictive improvement