참고문헌
- Ministry of Environment, "2016 Statistics of Waterworks", pp. 23-24, Ministry of Environment, the Republic of Korea, 2017.
- R. Cochran, A. W. Cotton, "Municipal water demand study, Oklahoma City and Tulsa, Oklahoma," Water Resources Research, Vol. 21, No. 7, pp. 941-943, July 1985. https://doi.org/10.1029/WR021i007p00941
- AWWA Research Foundation, "Commercial and institutional end uses of water", pp. 30-58, American Water Works Association Research Foundation, Denver, 2000.
- Aquacraft, Inc., "Post-drought changes in residental water use", pp. 1-325, Denver Water, Denver, CO., 2006.
- S. L. Zhou, T. A. McMahon, A. Walton, J. Lewis, "Forcasting daily water demand: A case study of Melbourne", Journal of Hydrology, Vol. 236, pp. 153-164, 2000. https://doi.org/10.1016/S0022-1694(00)00287-0
- L. Shvarster, U. Shamir, M. Feldman, "Forcasting hourly water demands by pattern recognition approach", Journal of Water Resources Planning and Management, Vol. 119, No. 6, pp. 611-627, 1993. https://doi.org/10.1061/(ASCE)0733-9496(1993)119:6(611)
- J. Adamowski, C. Karapataki, "Comparison of multivariate regression and artificial neural networks for peak urban water-demand forecasting: evaluation of different ANN learning algorithms", Journal of Hydrologic Engineering, Vol. 15, No. 10, pp. 729-743, Oct 2010. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000245
- M. Nasseri, A. Moeini, M. Tabesh, "Forecasting monthly urban water demand using extended Kalman filter and genetic programming", Expert System with Applications, Vol. 38, No. 6, pp. 7387-7395, June 2011. https://doi.org/10.1016/j.eswa.2010.12.087
- B. Brentan, E. Luvizotto, M. Herrera, J. Izquierdo, R. Perez-Garcia, "Hybrid regression model for near real-time urban water demand forecasting", Journal of Computational and Applied Mathematics, Vol. 309, No. 1, pp. 532-541, Jan 2017. https://doi.org/10.1016/j.cam.2016.02.009
- I. Duerr, H. R. Merrill, C. Wang, R. Bai, M. Boyer, M. D. Dukes, N. Bliznyuk, "Forecasting urban household water demand with statistical and machine learning methods using large space-time data: A comparative study", Environmental Modelling and Software, Vol. 102, pp. 29-38, April 2018. https://doi.org/10.1016/j.envsoft.2018.01.002
- J. Kim, H. S. Kim, D. Lee, G. Kim, "Analysis of water use characteristics by household demand monitoring", Journal of Korean Society of Environmental Engineering, Vol. 29, pp. 864-869, 2007.
- D. Lee, J. Kim, H. Kim, "Statistical analysis of non-household unit water use for business categories", Journal of Korean Society of Environmental Engineering, Vol. 29, pp. 385-396, 2009.
- H. Kim, J. Kim, "Forecast of regional water demand in Korea; a recursive multi-region water CGE modelling approach", Journal of the KRSA, Vol. 26, No. 1, pp. 85-101, Mar 2010.
- J. Kim, C. Jung, J. Lee, S. Kim, "Development of naive-bayes classification and multiple linear regression model to predict agricultural reservoir storage rate based on weather forecast data", J. Korea Water Resour. Assoc., Vol. 51, No. 10, pp. 839-852, Aug 2018. https://doi.org/10.3741/JKWRA.2018.51.10.839
- J. Jo, J. W. Baek, "Experimental design and analysis for reliability improvement", Journal of the Applied Reliability, Vol. 2, pp. 47-61, 2002.