Energy forecast using linear regression methods

Energy analysis and forecasting have always been the essential part of an efficient energy system planning and operation. This thesis presents the mathematical methods based on regression analysis and energy profiling for energy modelling and forecasting. Two applications of energy were analyz...

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Main Author:	Hanafi, Noor Hasnizam
Format:	Thesis
Language:	English English English
Published:	2004
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.uthm.edu.my/7915/1/24p%20NOOR%20HASNIZAM%20HANAFI.pdf http://eprints.uthm.edu.my/7915/2/NOOR%20HASNIZAM%20HANAFI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7915/3/NOOR%20HASNIZAM%20HANAFI%20WATERMARK.pdf
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id	my-uthm-ep.7915
record_format	uketd_dc
spelling	my-uthm-ep.79152022-10-17T06:24:37Z Energy forecast using linear regression methods 2004-10 Hanafi, Noor Hasnizam TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations Energy analysis and forecasting have always been the essential part of an efficient energy system planning and operation. This thesis presents the mathematical methods based on regression analysis and energy profiling for energy modelling and forecasting. Two applications of energy were analyzed such as energy heating demands and electricity demands. The methods are applied for the Energieversorgung Offenbach AG (EVO) in Gravenbruch and Offenbach at Germany, using 1995 and 2003 dat^ The models of energy heating demands were developed based on simple linear and multiple regression methods. The Mean Absolute Percentage Errors (MAPE) are compared between two models. Two approaches to determine the typical energy profile are proposed. The two approaches use similar outdoor temperature for energy heating demand profiles and for electricity demands using similar electricity profile. The proposed approaches were able to determine the typical profiles of different type of day. 2004-10 Thesis http://eprints.uthm.edu.my/7915/ http://eprints.uthm.edu.my/7915/1/24p%20NOOR%20HASNIZAM%20HANAFI.pdf text en public http://eprints.uthm.edu.my/7915/2/NOOR%20HASNIZAM%20HANAFI%20COPYRIGHT%20DECLARATION.pdf text en staffonly http://eprints.uthm.edu.my/7915/3/NOOR%20HASNIZAM%20HANAFI%20WATERMARK.pdf text en validuser mphil masters Kolej Universiti Teknologi Tun Hussein Onn Fakulti Kejuruteraan Elektrik dan Elektronik
institution	Universiti Tun Hussein Onn Malaysia
collection	UTHM Institutional Repository
language	English English English
topic	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering TK Electrical engineering Electronics Nuclear engineering Hanafi, Noor Hasnizam Energy forecast using linear regression methods
description	Energy analysis and forecasting have always been the essential part of an efficient energy system planning and operation. This thesis presents the mathematical methods based on regression analysis and energy profiling for energy modelling and forecasting. Two applications of energy were analyzed such as energy heating demands and electricity demands. The methods are applied for the Energieversorgung Offenbach AG (EVO) in Gravenbruch and Offenbach at Germany, using 1995 and 2003 dat^ The models of energy heating demands were developed based on simple linear and multiple regression methods. The Mean Absolute Percentage Errors (MAPE) are compared between two models. Two approaches to determine the typical energy profile are proposed. The two approaches use similar outdoor temperature for energy heating demand profiles and for electricity demands using similar electricity profile. The proposed approaches were able to determine the typical profiles of different type of day.
format	Thesis
qualification_name	Master of Philosophy (M.Phil.)
qualification_level	Master's degree
author	Hanafi, Noor Hasnizam
author_facet	Hanafi, Noor Hasnizam
author_sort	Hanafi, Noor Hasnizam
title	Energy forecast using linear regression methods
title_short	Energy forecast using linear regression methods
title_full	Energy forecast using linear regression methods
title_fullStr	Energy forecast using linear regression methods
title_full_unstemmed	Energy forecast using linear regression methods
title_sort	energy forecast using linear regression methods
granting_institution	Kolej Universiti Teknologi Tun Hussein Onn
granting_department	Fakulti Kejuruteraan Elektrik dan Elektronik
publishDate	2004
url	http://eprints.uthm.edu.my/7915/1/24p%20NOOR%20HASNIZAM%20HANAFI.pdf http://eprints.uthm.edu.my/7915/2/NOOR%20HASNIZAM%20HANAFI%20COPYRIGHT%20DECLARATION.pdf http://eprints.uthm.edu.my/7915/3/NOOR%20HASNIZAM%20HANAFI%20WATERMARK.pdf
_version_	1747831208906063872

Energy forecast using linear regression methods

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