Prediction of Domestic Water Leakage Based on Consumer Water Consumption Data

Rashid, Nur Rasyida Mohd; Rasmani, Khairul A.; Shahari, N.; Ismail, Norul Fadhilah; Hanif, Herma Mohd; Noh, Nor Aishah Md

doi:10.1166/asl.2014.5311

Cited by 4 publications

(1 citation statement)

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“…This research used a secondary data collected by a group of students (Bachelor of Science (Hons) Statistics) in Universiti Teknologi Mara (UiTM) Seremban. This data has been used in the study by [38] to detect excessive residential water consumption and to predict domestic water leakage based on consumer water consumption data [39]. Table 1 illustrates the household routines parameter and identifier collected from the secondary data.…”

Section: Data Collectionmentioning

confidence: 99%

Pre-Determined Household Routines Parameters Values of Domestic Water Consumption

Khalid¹

2019

IJATCSE

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Domestic water consumption is affected by various factors such as number of households, type of house, and occupation. Moreover, depending on the type of technology used such as water-using appliances and fixtures associated, consumption for a specific household routine can differ greatly. However, in Malaysia, there is a limited study on water consumption patterns by different household routines. In this research, the household routines parameters are identified via various literatures. It is then complimented with the secondary data collection in Seremban, Negeri Sembilan to yield pre-determined values (low, medium, and high) of domestic water consumption parameters. The final values are then determined to produce static pre-determined water consumption values for each parameter. These values allow more insight towards accurately estimating or classifying domestic water consumption.

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Section: Data Collectionmentioning

confidence: 99%