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- Title
Agent Based Modelling in Digital Twins for Household Water Consumption Forecasting.
- Authors
ALAMRI, Sultan; USMAN, Imran; ALVI, Saad
- Abstract
The continuous increase in urban population due to migration of mases from rural areas to big cities has set urban water supply under serious stress. Urban water resources face scarcity of available water quantity, which ultimately effects the water supply. It is high time to address this challenging problem by taking appropriate measures for the improvement of water utility services linked with better understanding of demand side management (DSM), which leads to an effective state of water supply governance. We propose a dynamic framework for preventive DSM that results in optimization of water resource management. This paper uses Agent Based Modeling (ABM) with Digital Twin (DT) to model water consumption behavior of a population and consequently forecast water demand. DT creates a digital clone of the system using physical model, sensors, and data analytics to integrate multi-physical quantities. By doing so, the proposed model replicates the physical settings to perform the remote monitoring and controlling jobs on the digital format, whilst offering support in decision making to the relevant authorities.
- Subjects
RESIDENTIAL water consumption; DIGITAL twins; MUNICIPAL water supply; WATER management; LOAD management (Electric power); WATER consumption
- Publication
Przeglad Elektrotechniczny, 2024, Vol 2024, Issue 1, p158
- ISSN
0033-2097
- Publication type
Article
- DOI
10.15199/48.2024.01.33