@inproceedings{0f2ad66848ba48148608864dbf79ee14,
title = "Modelling Water Network Behaviors: Agent-based Modelling",
abstract = "Technical tools for decision-making and analysis of a water network have significantly advanced. The major challenge highlighted is developing a decision tool suitable to resolve issues related to the interactions of human and water resources systems. This study focuses to understand and predict behavioral patterns involving protocols in a water network, many of which are expansive and complex. This study leverage tools of industry 4.0 specifically simulation (Agent-based models) in addressing this challenge with emphasis on smart metering a subset priority for a sustainable water network. Research indicates Agents-based Models (ABM) have been used as a sustainable decision tool to develop an integrated human and environmental model. The results allow stakeholders in the water sector to test, formulate, and refine knowledge of how an observed pattern in the water network can be recreated. The novelty in this study allows for a given population of households to be captured heterogeneously and connected to interact with a capacity to transmit information and modify the behavioral patterns.",
keywords = "Agent-based models, Predict, Sustainability, Water network",
author = "C. Medoh and A. Telukdarie",
note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021 ; Conference date: 13-12-2021 Through 16-12-2021",
year = "2021",
doi = "10.1109/IEEM50564.2021.9672976",
language = "English",
series = "2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "915--919",
booktitle = "2021 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2021",
address = "United States",
}
