Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz

This paper presents an overview research on the short term load forecasting (STLF) in power system field. The method used in this approach was based on autoregressive (AR) Box Jenkins model. AR was mathematical model in solving iteration problem. The AR model was selected based on the behavior of th...

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Main Author:	Abdul Aziz, Romi Ehendra
Format:	Thesis
Language:	English
Published:	2008
Subjects:	Production of electric energy or power Powerplants Central stations
Online Access:	https://ir.uitm.edu.my/id/eprint/67130/2/67130.pdf
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id	my-uitm-ir.67130
record_format	uketd_dc
spelling	my-uitm-ir.671302023-01-09T00:13:17Z Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz 2008 Abdul Aziz, Romi Ehendra Production of electric energy or power. Powerplants. Central stations Electric power distribution. Electric power transmission This paper presents an overview research on the short term load forecasting (STLF) in power system field. The method used in this approach was based on autoregressive (AR) Box Jenkins model. AR was mathematical model in solving iteration problem. The AR model was selected based on the behavior of the sample autocorrelation (SAC) and sample partial autocorrelation (SPAC). Furthermore the adequacy of the AR model was determined by Ljung Box test. The (AR) Box Jenkins model then is compared with the ARIMA Box Jenkins model to determine the performance of both models in assessment of STLF. The main purpose was to study the important of load forecasting. Whereby from the load forecasting analysis we can estimate on how many generation plants that have to turn on in certain period time, and switching. 2008 Thesis https://ir.uitm.edu.my/id/eprint/67130/ https://ir.uitm.edu.my/id/eprint/67130/2/67130.pdf text en public degree Universiti Teknologi MARA (UiTM) Faculty of Electrical Engineering Othman, Muhammad Murtadha
institution	Universiti Teknologi MARA
collection	UiTM Institutional Repository
language	English
advisor	Othman, Muhammad Murtadha
topic	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations
spellingShingle	Production of electric energy or power Powerplants Central stations Production of electric energy or power Powerplants Central stations Abdul Aziz, Romi Ehendra Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz
description	This paper presents an overview research on the short term load forecasting (STLF) in power system field. The method used in this approach was based on autoregressive (AR) Box Jenkins model. AR was mathematical model in solving iteration problem. The AR model was selected based on the behavior of the sample autocorrelation (SAC) and sample partial autocorrelation (SPAC). Furthermore the adequacy of the AR model was determined by Ljung Box test. The (AR) Box Jenkins model then is compared with the ARIMA Box Jenkins model to determine the performance of both models in assessment of STLF. The main purpose was to study the important of load forecasting. Whereby from the load forecasting analysis we can estimate on how many generation plants that have to turn on in certain period time, and switching.
format	Thesis
qualification_level	Bachelor degree
author	Abdul Aziz, Romi Ehendra
author_facet	Abdul Aziz, Romi Ehendra
author_sort	Abdul Aziz, Romi Ehendra
title	Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz
title_short	Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz
title_full	Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz
title_fullStr	Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz
title_full_unstemmed	Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz
title_sort	short-term load forecasting using ar and arima box jenkins model / romi ehendra abdul aziz
granting_institution	Universiti Teknologi MARA (UiTM)
granting_department	Faculty of Electrical Engineering
publishDate	2008
url	https://ir.uitm.edu.my/id/eprint/67130/2/67130.pdf
_version_	1783735665695916032

Short-term load forecasting using AR and ARIMA box Jenkins model / Romi Ehendra Abdul Aziz

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