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Performance Comparison on Water Demand Methods Applied at Pengkalan Gawi, Kenyir Lake, Malaysia

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dc.contributor.authorAzlan N.N.I.B.M.en_US
dc.contributor.authorNorhisham S.en_US
dc.contributor.authorMalek M.A.en_US
dc.contributor.authorShkuri N.S.M.en_US
dc.contributor.authorZolkepli M.en_US
dc.contributor.authorEan L.W.en_US
dc.contributor.authorMohamad A.M.en_US
dc.contributor.authorid57208010131en_US
dc.contributor.authorid54581400300en_US
dc.contributor.authorid55636320055en_US
dc.contributor.authorid57215193538en_US
dc.contributor.authorid56429499300en_US
dc.contributor.authorid55324334700en_US
dc.contributor.authorid57189290175en_US
dc.date.accessioned2023-05-29T09:41:28Z
dc.date.available2023-05-29T09:41:28Z
dc.date.issued2022
dc.descriptionLakes; Statistics; Water management; Water supply; Component analysis; Mean absolute deviations; Means square errors; Micro-component analyse; Microcomponent; National water service commission (SPAN) guideline; Performance; Performance accuracy; Water demand; Water service; Mean square erroren_US
dc.description.abstractEvery day, demand and supply of water resources rises along with the urbanisation, population, and technological advancement. The situation has brought up the needs to explore water demand of an area for the water authority to supply enough water to the people. The objective of the research is to compare the performance of Micro-Component Analysis (MCA) and National Water Service Commission (SPAN) Guideline with actual water demand implied at Pengkalan Gawi, Kenyir Lake, Terengganu, Malaysia. Actual water consumption and forecasted water consumption (MCA and SPAN Guidelines) are used to evaluate the performance accuracy. The method used to compare the performance of the models is statistical analysis of Mean Absolute Deviation (MAD), Mean Square Error (MSE) and Root Mean Square Error (RMSE). As a result, MCA produced statistical indices of MAD, MSE and RMSE of 28.32, 2165.89 and 46.54, respectively. Meanwhile, SPAN Guidelines resulted with 58.42, 17,128.23 and 130.87 of MAD, MSE and RMSE. The study conclude that MCA has better accuracy with lower value of statistical indices compared to the other model and eventually assist the water authorities in constructing sensible water plans for the area of same geographical state using the respective technique. � 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.en_US
dc.description.natureFinalen_US
dc.identifier.doi10.1007/978-981-16-8667-2_19
dc.identifier.epage172
dc.identifier.scopus2-s2.0-85126218886
dc.identifier.spage163
dc.identifier.urihttps://www.scopus.com/inward/record.uri?eid=2-s2.0-85126218886&doi=10.1007%2f978-981-16-8667-2_19&partnerID=40&md5=19fa6f53d52c6a6bbe76818c31d9ef74
dc.identifier.urihttps://irepository.uniten.edu.my/handle/123456789/27242
dc.identifier.volume223
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.sourceScopus
dc.sourcetitleLecture Notes in Civil Engineering
dc.titlePerformance Comparison on Water Demand Methods Applied at Pengkalan Gawi, Kenyir Lake, Malaysiaen_US
dc.typeConference Paperen_US
dspace.entity.typePublication
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