Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/77835
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dc.contributor.authorTan, Kheng Chuan
dc.date.accessioned2019-06-07T01:59:03Z
dc.date.available2019-06-07T01:59:03Z
dc.date.issued2019
dc.identifier.urihttp://hdl.handle.net/10356/77835
dc.description.abstractSince the recent launch of Open Electricity Market (OEM) initiative in Singapore, all households will have the option of switching from Singapore Powers (SP Group) who was the sole electricity distributor to another electricity retailer. Consumers will be given a wide range of electricity retailers and plan s to choose from and in turn benefit from competitive pricing. There were about 13 electricity retailers upon launch who have offered many various types of price plan s for consumers. The mobile application for this project aims to help consumers choo s e the most suitable electricity price plan based on their usage through a mobile platform for the convenience of accessibility The mobile application was designed to cater to three different type s of audience which consist of the consumers, administrative user and retailer s Additional features that utilize machine learning to predict the most suitable type of price plan, electricity tariff rate and usage have been implemented to enhance the functionality of the mobile application This report will cover the design infrastructure of the mobile application and its implemented features.en_US
dc.format.extent47 p.en_US
dc.language.isoenen_US
dc.rightsNanyang Technological University
dc.subjectDRNTU::Engineering::Electrical and electronic engineeringen_US
dc.titleDevelopment of a mobile application for analysis of electricity price plans (B)en_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorTan Chee Wah Wesleyen_US
dc.contributor.schoolSchool of Electrical and Electronic Engineeringen_US
dc.description.degreeBachelor of Engineering (Electrical and Electronic Engineering)en_US
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Appears in Collections:EEE Student Reports (FYP/IA/PA/PI)
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