1. Emmanuel, A.D.: Urban water demand forecasting: a review of methods and models. J. Water Resour. Manag. 140,146–159 (2012)
2. Candelieri, A., Conti, D., Archetti, F.: Improving analytics in urban water management: a spatial clustering based approach for leakage localization. Sci. Direct Procedia Scale Behav. Sci. 108, 235–248 (2014)
3. Gomes, R., Sousa, J., Marques, A.: Influence of future water demand patterns on the district metered areas design and benefits yields by pressure management. In: 12th International Conference on Computing and Control for the Water Industry, CCWI2013, pp. 744–752 Science Direct, Vademecum (2014)
4. Guo, G.: Short term water demand forecast based on deep neural network. WDSA/ CCWI, Ontario, Canada (2018)
5. John Quity.: Solving uncertainty: using big data to predict urban water demand.
https://www.wateronline.com/
(2015)