21 June 2018 Academic Editor: Anna Vila Copyright © 2018 Laura Millán-Roures et al. This is an open access article distributed under the Creative Commons Attribution License, which permits ... . Acknowledgments The authors would like to acknowledge the company FACSA for providing them with the data set. This work was carried out while Laura Millán-Roures was enjoying a grant supported by the Cátedra FACSA
21 June 2018 Academic Editor: Anna Vila Copyright © 2018 Laura Millán-Roures et al. This is an open access article distributed under the Creative Commons Attribution License, which permits ... . Acknowledgments The authors would like to acknowledge the company FACSA for providing them with the data set. This work was carried out while Laura Millán-Roures was enjoying a grant supported by the Cátedra FACSA
21 June 2018 Academic Editor: Anna Vila Copyright © 2018 Laura Millán-Roures et al. This is an open access article distributed under the Creative Commons Attribution License, which permits ... . Acknowledgments The authors would like to acknowledge the company FACSA for providing them with the data set. This work was carried out while Laura Millán-Roures was enjoying a grant supported by the Cátedra FACSA
A functional data analysis (FDA) based methodology for detecting anomalous flows in urban water networks is introduced. Primary hydraulic variables are recorded in real-time by telecontrol systems, so they are functional data (FD). In the first stage, the data are validated (false data are detected) and reconstructed, since there could be not only false data, but also missing and...
