Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz

This paper explains the load forecasting using fuzzy logic method. The data of the load demand and temperature in this thesis are obtained from the Unit of Facilities in UiTM Shah Alam. Load forecasting is very important to the operation of Electricity companies such as Tenaga Nasional Berhad (TNB)....

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Main Author:	Abd Aziz, Mohamad Azrul
Format:	Thesis
Language:	English
Published:	2013
Subjects:	Fuzzy logic
Online Access:	https://ir.uitm.edu.my/id/eprint/84850/1/84850.pdf
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id	my-uitm-ir.84850
record_format	uketd_dc
spelling	my-uitm-ir.848502024-01-31T02:37:54Z Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz 2013 Abd Aziz, Mohamad Azrul Fuzzy logic This paper explains the load forecasting using fuzzy logic method. The data of the load demand and temperature in this thesis are obtained from the Unit of Facilities in UiTM Shah Alam. Load forecasting is very important to the operation of Electricity companies such as Tenaga Nasional Berhad (TNB). From the load forecasting analysis and study, we can increase the energy efficiency and also the reliable operation of power system. By forecasting the load demand data, it will be an important component in planning generation schedules in a power system. In this paper, we focus on fuzzy logic based short term load forecasting. The purposed technique for implementing fuzzy logic based forecasting is by identification of the specific day and by using maximum and minimum temperature for that day and finally listing the maximum temperature and peak load for that day. 2013 Thesis https://ir.uitm.edu.my/id/eprint/84850/ https://ir.uitm.edu.my/id/eprint/84850/1/84850.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Che Mat Haris, Harizan
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Che Mat Haris, Harizan
topic	Fuzzy logic
spellingShingle	Fuzzy logic Abd Aziz, Mohamad Azrul Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
description	This paper explains the load forecasting using fuzzy logic method. The data of the load demand and temperature in this thesis are obtained from the Unit of Facilities in UiTM Shah Alam. Load forecasting is very important to the operation of Electricity companies such as Tenaga Nasional Berhad (TNB). From the load forecasting analysis and study, we can increase the energy efficiency and also the reliable operation of power system. By forecasting the load demand data, it will be an important component in planning generation schedules in a power system. In this paper, we focus on fuzzy logic based short term load forecasting. The purposed technique for implementing fuzzy logic based forecasting is by identification of the specific day and by using maximum and minimum temperature for that day and finally listing the maximum temperature and peak load for that day.
format	Thesis
qualification_level	Bachelor degree
author	Abd Aziz, Mohamad Azrul
author_facet	Abd Aziz, Mohamad Azrul
author_sort	Abd Aziz, Mohamad Azrul
title	Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
title_short	Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
title_full	Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
title_fullStr	Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
title_full_unstemmed	Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz
title_sort	short term load forecasting using fuzzy logic in uitm shah alam / mohamad azrul abd aziz
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2013
url	https://ir.uitm.edu.my/id/eprint/84850/1/84850.pdf
_version_	1794192060164603904

Short term load forecasting using fuzzy logic in UiTM Shah Alam / Mohamad Azrul Abd Aziz

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