Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani

Residential water consumption is influenced by various factors. Household routine parameters involving water-using appliances and fixtures such as number of times the occupants of a household took bath and shower, doing laundry, watering plants and other routines ultimately regulate the amount of re...

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Main Author:	Hani, Nurul Nadia
Format:	Thesis
Language:	English
Published:	2019
Subjects:	Water supply for domestic and industrial purposes
Online Access:	https://ir.uitm.edu.my/id/eprint/84341/1/84341.pdf
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id	my-uitm-ir.84341
record_format	uketd_dc
spelling	my-uitm-ir.843412024-07-15T00:50:15Z Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani 2019 Hani, Nurul Nadia Water supply for domestic and industrial purposes Residential water consumption is influenced by various factors. Household routine parameters involving water-using appliances and fixtures such as number of times the occupants of a household took bath and shower, doing laundry, watering plants and other routines ultimately regulate the amount of residential's monthly water consumption. Accurately and effectively estimating and classifying the amount of residential water consumption is a tremendously challenging task as these parameters differ from one another with one household routine may be more influential and vice versa. Previous method which employs per capita water consumption (PCC) basically finding average of water consumption in different state of Malaysia which-is largely inaccurate. This research therefore proposes the employment of Genetic Algorithm (GA) to optimize the coefficient of micro-components of water consumption (CMWC) values to determine high influential household routine parameters. This is accomplished by encoding the chromosome data in GA to incorporate the CMWC values to minimize the residential water consumption estimation error rates and subsequently enabling increased accuracy towards estimating and classifying the amount of residential water consumption. Using household's characteristic data and average monthly water consumption from 80 households in Seremban, it is discovered that CMWC values for bath and shower, flush toilets, personal hygiene, laundry by washing machine and food preparation are more influential towards the water consumption compared to laundry by handwashing, water plants, wash car and miscellaneous routines. 2019 Thesis https://ir.uitm.edu.my/id/eprint/84341/ https://ir.uitm.edu.my/id/eprint/84341/1/84341.pdf text en public masters Universiti Teknologi MARA (UiTM) Faculty of Computer and Mathematical Sciences Abd Khalid, Noor Elaiza
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Abd Khalid, Noor Elaiza
topic	Water supply for domestic and industrial purposes
spellingShingle	Water supply for domestic and industrial purposes Hani, Nurul Nadia Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
description	Residential water consumption is influenced by various factors. Household routine parameters involving water-using appliances and fixtures such as number of times the occupants of a household took bath and shower, doing laundry, watering plants and other routines ultimately regulate the amount of residential's monthly water consumption. Accurately and effectively estimating and classifying the amount of residential water consumption is a tremendously challenging task as these parameters differ from one another with one household routine may be more influential and vice versa. Previous method which employs per capita water consumption (PCC) basically finding average of water consumption in different state of Malaysia which-is largely inaccurate. This research therefore proposes the employment of Genetic Algorithm (GA) to optimize the coefficient of micro-components of water consumption (CMWC) values to determine high influential household routine parameters. This is accomplished by encoding the chromosome data in GA to incorporate the CMWC values to minimize the residential water consumption estimation error rates and subsequently enabling increased accuracy towards estimating and classifying the amount of residential water consumption. Using household's characteristic data and average monthly water consumption from 80 households in Seremban, it is discovered that CMWC values for bath and shower, flush toilets, personal hygiene, laundry by washing machine and food preparation are more influential towards the water consumption compared to laundry by handwashing, water plants, wash car and miscellaneous routines.
format	Thesis
qualification_level	Master's degree
author	Hani, Nurul Nadia
author_facet	Hani, Nurul Nadia
author_sort	Hani, Nurul Nadia
title	Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
title_short	Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
title_full	Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
title_fullStr	Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
title_full_unstemmed	Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani
title_sort	parametric coefficient genetic algorithm for domestic water consumption / nurul nadia hani
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Computer and Mathematical Sciences
publishDate	2019
url	https://ir.uitm.edu.my/id/eprint/84341/1/84341.pdf
_version_	1804889723578089472

Parametric coefficient genetic algorithm for domestic water consumption / Nurul Nadia Hani

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