Development of mobile application for analysis of electricity price plans (A)

Singapore Power Group has been the sole distributor of power generation to households and enterprises for years. In Year 2001, Energy Market Authority (EMA) has started the liberalisation of electricity market initiative to help business consumers in giving them more options in managing their electr...

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Main Author: Ong, John Rongxing
Other Authors: Tan Chee Wah Wesley
Format: Final Year Project
Language:English
Published: 2019
Subjects:
Online Access:http://hdl.handle.net/10356/77854
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-778542023-07-07T17:16:37Z Development of mobile application for analysis of electricity price plans (A) Ong, John Rongxing Tan Chee Wah Wesley School of Electrical and Electronic Engineering DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence DRNTU::Engineering::Computer science and engineering::Theory of computation::Mathematical logic and formal languages Singapore Power Group has been the sole distributor of power generation to households and enterprises for years. In Year 2001, Energy Market Authority (EMA) has started the liberalisation of electricity market initiative to help business consumers in giving them more options in managing their electricity costs. In Year 2018, EMA launched the Open Electricity Market to all household consumers progressively by zones. This initiative will allow 1.4 million of households and business consumers more flexibility in choosing their preferred electricity price plans. There are currently 14 electricity retailers with 40 over price plans. In this project, an analysis of electricity price plan mobile application was developed to help the consumers in choosing the most ideal price plans for their consumption needs through the use of machine learning capabilities. The mobile application was also catered to the retailers and administrators for tariff rate prediction to forecast the next-month tariff rate, and the editing of the database through the mobile application. Bachelor of Engineering (Electrical and Electronic Engineering) 2019-06-07T03:00:54Z 2019-06-07T03:00:54Z 2019 Final Year Project (FYP) http://hdl.handle.net/10356/77854 en Nanyang Technological University 76 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Theory of computation::Mathematical logic and formal languages
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Artificial intelligence
DRNTU::Engineering::Computer science and engineering::Theory of computation::Mathematical logic and formal languages
Ong, John Rongxing
Development of mobile application for analysis of electricity price plans (A)
description Singapore Power Group has been the sole distributor of power generation to households and enterprises for years. In Year 2001, Energy Market Authority (EMA) has started the liberalisation of electricity market initiative to help business consumers in giving them more options in managing their electricity costs. In Year 2018, EMA launched the Open Electricity Market to all household consumers progressively by zones. This initiative will allow 1.4 million of households and business consumers more flexibility in choosing their preferred electricity price plans. There are currently 14 electricity retailers with 40 over price plans. In this project, an analysis of electricity price plan mobile application was developed to help the consumers in choosing the most ideal price plans for their consumption needs through the use of machine learning capabilities. The mobile application was also catered to the retailers and administrators for tariff rate prediction to forecast the next-month tariff rate, and the editing of the database through the mobile application.
author2 Tan Chee Wah Wesley
author_facet Tan Chee Wah Wesley
Ong, John Rongxing
format Final Year Project
author Ong, John Rongxing
author_sort Ong, John Rongxing
title Development of mobile application for analysis of electricity price plans (A)
title_short Development of mobile application for analysis of electricity price plans (A)
title_full Development of mobile application for analysis of electricity price plans (A)
title_fullStr Development of mobile application for analysis of electricity price plans (A)
title_full_unstemmed Development of mobile application for analysis of electricity price plans (A)
title_sort development of mobile application for analysis of electricity price plans (a)
publishDate 2019
url http://hdl.handle.net/10356/77854
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