References
- Billings, R.B. and Jones, C.V., 2008. Forecasting Urban Water Demand, 2nd ed. American Water Works Association, Denver, Co. chapter 14, 299–308.
- Donker, E.A., Mazzuchi, T.A., Soyer, R., and Roberson, J.A., 2014. Urban water demand forecasting: review of methods and models. Journal of Water Resource Planning and Management, 140 (2), 146–159.
- Firat, M., Yurdusev, M.A., and Turan, M.E., 2009. Evaluation of artificial neural network techniques for municipal water consumption modeling. Journal of Water Resource Planning and Management, 23, 617–632.
- Ghiassi, M., Saidane, H., and Zimbra, D.K., 2005. A dynamic artificial neural network model for forecasting time-series events. International Journal of Forecasting, 21 (2), 341–362.
- Ghiassi, M., Zimbra, D.K., and Saidane, H., 2008. Urban water demand forecasting with a dynamic artificial neural network model. Journal of Water Resource Planning and Management, 134 (2), 138–146.
- Lall, U. and Sharma, A., 1996. A nearest neighbor bootstrap for re-sampling hydrologic time series. Water Resource Research, 32 (3), 679–693.
- Tabesh, M. and Dini, M., 2009. Fuzzy and neuro-fuzzy models for short-term water demand forecasting in Tehran. Iranian Journal of Science & Technology, Transaction B, Engineering, 33, 61–77.
- Zhou, S.L., McMahon, T.A., and Lewis, W.J., 2000. Forecasting daily urban water demand: A case study of Melbourne. Journal of Hydrology, 236, 153–164.