Water distribution systems demand forecasting with pattern recognition

8th Annual Water Distribution Systems Analysis Symposium 2006

Volumn , Issue , 2007, Pages 50-

  Greenaway, Gwendo ^a   Guanlao, Rhea ^a   Bayda, Nadia ^a   Zhang, Qing ^a  

^a EPCOR Water Services   (Canada)

Author keywords

Integrated resource plan; Long term plan; Pattern recognition; Real time forecasting; Short term demand forecasting; Water demand forecasting

Indexed keywords

FINANCE; MATHEMATICAL MODELS; PATTERN RECOGNITION; PRODUCTION CONTROL; RANDOM PROCESSES; STATISTICAL METHODS;

INTEGRATED RESOURCE PLAN; REAL-TIME FORECASTING; SHORT-TERM DEMAND FORECASTING; WATER DEMAND FORECASTING;

WATER DISTRIBUTION SYSTEMS;

EID: 40549091365     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1061/40941(247)50     Document Type: Conference Paper

References (7)

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2. Greenaway, G., Kongsrude, T. (2004). "Using AI to Choose the Most Effective Residential Water Conservation Measures." Proceedings of the 2004 AWWA Annual Conference, Orlando, Florida
3. Jain, A. and Ormsbee, L. E. (2002). "Short-term water demand forecast modeling techniques - conventional methods versus AL" Journal of American Water Works Association, 94(7).
4. Shvartser. L., Sharmir, U., Feldman, M. (1993). "Forecasting Hourly water Demands by Pattern Recognition Approach." Journal of Water Resources Planning and Management, Vol. 119.
5. Stark, H.L., Stanley, S.J., and Buchanan, I. D. (2000). "The Application of Artificial Neural Networks to Water Demand Modeling." Proceedings of the 6th Environmental Engineering Specialty Conference of the CSCE, London, ON.
6. Zhang, Q., Stanley, S., Greenaway, G., Zenari, L., Ancel, S. (2001). "Water Consumption Revenue Forecasting with Artificial Neural Network Technology. " Proceedings of the 2001 AWWA Information management and Technology Conference, Atlanta, Georgia
7. Zhang, Q., Saumer, E., Penner, L., and Shariff, R. (2004). "Short-term Water Demand Forecast with Demand Profile." Proceedings of the 2004 AWWA Information management and Technology Conference, Baltimore, Maryland.