On-line hydraulic state estimation in urban water networks using reduced models

Integrating Water Systems - Proceedings of the 10th International on Computing and Control for the Water Industry, CCWI 2009

Volumn , Issue , 2010, Pages 319-324

  Preis, A ^a   Whittle, A J ^a,b   Ostfeld, A ^c   Perelman, L ^c  

^a SINGAPORE MIT ALLIANCE FOR RESEARCH AND TECHNOLOGY   (Singapore)

^b USA   (United States)

^c TECHNION ISRAEL INSTITUTE OF TECHNOLOGY   (Israel)

Author keywords

[No Author keywords available]

Indexed keywords

FLOW RATE MEASUREMENTS; FORECASTING MODELS; HYDRAULIC PERFORMANCE; INPUT DATAS; MODEL PERFORMANCE; ONLINE MODELS; ORIGINAL SYSTEMS; PREDICTOR CORRECTOR; REDUCED MODEL; TIME STEP; URBAN NETWORKS; URBAN WATER DISTRIBUTION SYSTEM; URBAN WATER SYSTEMS; URBAN WATERS; WATER DEMAND; WATER SYSTEM; WATER USAGE;

FLOW RATE; FORECASTING; STATE ESTIMATION; TERNARY SYSTEMS; TREES (MATHEMATICS); WATER SUPPLY;

WATERWORKS;

EID: 84859894621     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (11)

1. Davidson, J.W., Bouchart, F. J.-C., (2006), "Adjusting Nodal Demands in SCADA Constrained Real-Time Water Distribution Network Models", Journal of Hydraulic Engineering, Vol. 132.
2. EPANET. (USEPA 2002)Available on line at: www.epa.gov/ORD/NRMRL/wswrd/ epanet.html
3. Hammerlin, G., and Hoffman, K. H. (1991). "Numerical mathematics."Graduate texts in mathematics, Springer, NewYork.
4. Holland J. H. (1975). "Adaptation in natural and artificial systems." The University of Michigan Press, Ann Arbor.
5. Huber, P. J., (1973), "Robust regression: Asymptotics, conjectures, and Monte Carlo" Ann. Statist., 1, 799-821.
6. Jonkergouw, P. M. R., Khu, S.-T., Kapelan, Z. S., and Saviæ, D. A., (2008), "Water Quality Model Calibration under Unknown Demands" Journal of Water Resources Planning and Management, Vol. 134, No. 4
7. Ostfeld A. et al. (2008). "The battle of the water sensor networks: a design challenge for engineers and algorithms." Journal of Water Resources Planning and Management Division, ASCE, Vol. 134, No. 6, pp. 556-568.
8. Quinlan J. R. (1992). "Learning with continuous classes." Proceedings 5th Australian Joint Conference on Artificial Intelligence.World Scientific, Singapore, 343-348.
9. Shang, F., Uber, J., van Bloemen Waanders, B., Boccelli, D., Janke, R.(2006) "Real TimeWater Demand Estimation in Water Distribution System", 8th Annual Water Distribution SystemsAnalysis Symposium, Cincinnati, Ohio, USA, CD-Rom.
10. Ulanicki, B., Zehnpfund, A., and Martinez, F. (1996). "Simplification of water distribution network models." Proc., 2nd Int. Conf. on Hydroinformatics, Zurich, Switzerland, 493-500.
11. Walski, T.M., Chase, D.V., Savic, D.,A., Grayman,W., Beck-with, S. and Koelle, E., (2003) "AdvancedWater Distribution Modeling and Management," Haestad Methods, Inc. Waterbury, CT