Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim

This project focuses on forecast of electricity consumption in Malaysia using artificial intelligence. From the world market, electricity consumption depends on the electrical usage of a bunch of society. Electricity consumption should correspond to the current demand because the production of exces...

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Main Author:	Abd Rahim, Muhamad Farhan
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Back propagation (Artificial intelligence) Neural networks (Computer science)
Online Access:	https://ir.uitm.edu.my/id/eprint/84794/1/84794.pdf
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id	my-uitm-ir.84794
record_format	uketd_dc
spelling	my-uitm-ir.847942024-02-01T06:32:01Z Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim 2013 Abd Rahim, Muhamad Farhan Back propagation (Artificial intelligence) Neural networks (Computer science) This project focuses on forecast of electricity consumption in Malaysia using artificial intelligence. From the world market, electricity consumption depends on the electrical usage of a bunch of society. Electricity consumption should correspond to the current demand because the production of excess electricity and the reduction of electricity can cause economic loss. Almost of the large scale, it is impossible to do complete inspection because the time and cost increases drastically with increase in number of samples. This has created a need for a system that can inspect the components automatically with less cost and less time. The ANN will generate the pattern and predict the future pattern of electricity consumption. To improve the result of ANN model, the optimization method was used to optimize the forecast. As the result, the range of electricity consumption is obtained. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84794/ https://ir.uitm.edu.my/id/eprint/84794/1/84794.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Johari, Dalina
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Johari, Dalina
topic	Back propagation (Artificial intelligence) Neural networks (Computer science)
spellingShingle	Back propagation (Artificial intelligence) Neural networks (Computer science) Abd Rahim, Muhamad Farhan Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim
description	This project focuses on forecast of electricity consumption in Malaysia using artificial intelligence. From the world market, electricity consumption depends on the electrical usage of a bunch of society. Electricity consumption should correspond to the current demand because the production of excess electricity and the reduction of electricity can cause economic loss. Almost of the large scale, it is impossible to do complete inspection because the time and cost increases drastically with increase in number of samples. This has created a need for a system that can inspect the components automatically with less cost and less time. The ANN will generate the pattern and predict the future pattern of electricity consumption. To improve the result of ANN model, the optimization method was used to optimize the forecast. As the result, the range of electricity consumption is obtained.
format	Thesis
qualification_level	Bachelor degree
author	Abd Rahim, Muhamad Farhan
author_facet	Abd Rahim, Muhamad Farhan
author_sort	Abd Rahim, Muhamad Farhan
title	Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim
title_short	Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim
title_full	Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim
title_fullStr	Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim
title_full_unstemmed	Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim
title_sort	forecast electricity consumption in malaysia using artificial intelligence / muhamad farhan abd rahim
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/84794/1/84794.pdf
_version_	1794192051604029440

Forecast electricity consumption in Malaysia using artificial intelligence / Muhamad Farhan Abd Rahim

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