Monte Carlo Simulation of Residential Water Demand: A Stochastic End-Use Model-Reference-Cited by-同舟云学术

Monte Carlo Simulation of Residential Water Demand: A Stochastic End-Use Model

Published:2005-07 Issue: Volume: Page:
ISSN:
Container-title:Impacts of Global Climate Change
language:
Short-container-title:

Author:

Blokker E. J. M.,Vreeburg J. H. G.

Publisher

American Society of Civil Engineers

Link

http://ascelibrary.org/doi/pdf/10.1061/40792%28173%2934

Reference14 articles.

1. Ball A. Styles M. Stimson K. and Kowalski M. "Measuring microcomponents for demand forecasting" (2003). Advances in Water Supply Management - Proceedings of the CCWI '03 conference (A.A. Balkema Publishers 2003).

2. Bobee B. Boucher P. and Demard H. (80) "A method for estimating peak water demand of multifamily residences" Water resources Bulletin 16(4) 729-737 .

3. Broek A. van der and Breedveld K. Time budget survey 1995 - TBO'95 [computer file] Sociaal en Cultureel planbureau SCP Den Haag Amsterdam Steinmetz-archief (P1383). http://www.tijdsbesteding.nl

4. Buchberger S. G. and Wells G. J. (96) "Intensity duration and frequency of residential water demands" Journal of Water Resources Planning and Management 122(1) 11-19.

Cited by 14 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Mathematical modeling of the duration and frequency of water consumption by water collection devices of a residential building;Tyumen State University Herald. Physical and Mathematical Modeling. Oil, Gas, Energy;2024-07-03

2. Mathematical simulation of duration and frequency of water consumption by various water dispensers;Vestnik Tomskogo gosudarstvennogo arkhitekturno-stroitel'nogo universiteta. JOURNAL of Construction and Architecture;2024-04-26

3. Интенсивность водопотребления в отдельных водоразборных точках системы внутреннего водоснабжения;Vestnik MGSU;2024-01-31

4. Electric Water Boiler Energy Prediction: State-of-the-Art Review of Influencing Factors, Techniques, and Future Directions;Energies;2024-01-16

5. A Machine-Learning Approach for Monitoring Water Distribution Networks (WDNs);Sustainability;2023-02-07