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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| Format: | Thesis |
| Language: | English English English |
| Published: |
2004
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| Online Access: | http://eprints.uthm.edu.my/7915/ |
| Abstract | Abstract here |
| _version_ | 1855520743245217792 |
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| author | Hanafi, Noor Hasnizam |
| author_facet | Hanafi, Noor Hasnizam |
| author_sort | Hanafi, Noor Hasnizam |
| 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 |
| id | uthm-7915 |
| institution | Universiti Tun Hussein Onn Malaysia |
| language | English English English |
| publishDate | 2004 |
| record_format | EPrints |
| record_pdf | Restricted |
| spelling | uthm-79152022-10-17T06:24:37Z http://eprints.uthm.edu.my/7915/ Energy forecast using linear regression methods 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 NonPeerReviewed text en http://eprints.uthm.edu.my/7915/1/24p%20NOOR%20HASNIZAM%20HANAFI.pdf text en http://eprints.uthm.edu.my/7915/2/NOOR%20HASNIZAM%20HANAFI%20COPYRIGHT%20DECLARATION.pdf text en http://eprints.uthm.edu.my/7915/3/NOOR%20HASNIZAM%20HANAFI%20WATERMARK.pdf Hanafi, Noor Hasnizam (2004) Energy forecast using linear regression methods. Masters thesis, Kolej Universiti Teknologi Tun Hussein Onn. |
| spellingShingle | TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations Hanafi, Noor Hasnizam Energy forecast using linear regression methods |
| thesis_level | Master |
| title | 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_short | Energy forecast using linear regression methods |
| title_sort | energy forecast using linear regression methods |
| topic | TK Electrical engineering. Electronics Nuclear engineering TK1001-1841 Production of electric energy or power. Powerplants. Central stations |
| url | http://eprints.uthm.edu.my/7915/ |
| work_keys_str_mv | AT hanafinoorhasnizam energyforecastusinglinearregressionmethods |