Dynamic regression intervention modeling for the Malaysian daily load

Malaysia is a unique country due to having both fixed and moving holidays. These moving holidays may overlap with other fixed holidays and therefore, increase the complexity of the load forecasting activities. The errors due to holidays’ effects in the load forecasting are known to be higher than o...

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Main Authors: Abd. Razak, Fadhilah, Shitan, Mahendran, Hashim, Amir Hisham, Zainal Abidin, Izham
Format: Article
Language:English
Published: College of Statistical and Actuarial Sciences, University of the Punjab 2014
Online Access:http://psasir.upm.edu.my/id/eprint/37174/
http://psasir.upm.edu.my/id/eprint/37174/1/Dynamic%20regression%20intervention%20modeling%20for%20the%20Malaysian%20daily%20load.pdf
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author Abd. Razak, Fadhilah
Shitan, Mahendran
Hashim, Amir Hisham
Zainal Abidin, Izham
author_facet Abd. Razak, Fadhilah
Shitan, Mahendran
Hashim, Amir Hisham
Zainal Abidin, Izham
author_sort Abd. Razak, Fadhilah
building UPM Institutional Repository
collection Online Access
description Malaysia is a unique country due to having both fixed and moving holidays. These moving holidays may overlap with other fixed holidays and therefore, increase the complexity of the load forecasting activities. The errors due to holidays’ effects in the load forecasting are known to be higher than other factors. If these effects can be estimated and removed, the behavior of the series could be better viewed. Thus, the aim of this paper is to improve the forecasting errors by using a dynamic regression model with intervention analysis. Based on the linear transfer function method, a daily load model consists of either peak or average is developed. The developed model outperformed the seasonal ARIMA model in estimating the fixed and moving holidays’ effects and achieved a smaller Mean Absolute Percentage Error (MAPE) in load forecast.
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institution Universiti Putra Malaysia
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language English
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publisher College of Statistical and Actuarial Sciences, University of the Punjab
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spelling upm-371742015-08-27T06:58:39Z http://psasir.upm.edu.my/id/eprint/37174/ Dynamic regression intervention modeling for the Malaysian daily load Abd. Razak, Fadhilah Shitan, Mahendran Hashim, Amir Hisham Zainal Abidin, Izham Malaysia is a unique country due to having both fixed and moving holidays. These moving holidays may overlap with other fixed holidays and therefore, increase the complexity of the load forecasting activities. The errors due to holidays’ effects in the load forecasting are known to be higher than other factors. If these effects can be estimated and removed, the behavior of the series could be better viewed. Thus, the aim of this paper is to improve the forecasting errors by using a dynamic regression model with intervention analysis. Based on the linear transfer function method, a daily load model consists of either peak or average is developed. The developed model outperformed the seasonal ARIMA model in estimating the fixed and moving holidays’ effects and achieved a smaller Mean Absolute Percentage Error (MAPE) in load forecast. College of Statistical and Actuarial Sciences, University of the Punjab 2014 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/37174/1/Dynamic%20regression%20intervention%20modeling%20for%20the%20Malaysian%20daily%20load.pdf Abd. Razak, Fadhilah and Shitan, Mahendran and Hashim, Amir Hisham and Zainal Abidin, Izham (2014) Dynamic regression intervention modeling for the Malaysian daily load. Pakistan Journal of Statistics and Operation Research, 10 (1). pp. 41-55. ISSN 1816-2711; ESSN: 2220-5810 http://www.pjsor.com/index.php/pjsor/article/view/600
spellingShingle Abd. Razak, Fadhilah
Shitan, Mahendran
Hashim, Amir Hisham
Zainal Abidin, Izham
Dynamic regression intervention modeling for the Malaysian daily load
title Dynamic regression intervention modeling for the Malaysian daily load
title_full Dynamic regression intervention modeling for the Malaysian daily load
title_fullStr Dynamic regression intervention modeling for the Malaysian daily load
title_full_unstemmed Dynamic regression intervention modeling for the Malaysian daily load
title_short Dynamic regression intervention modeling for the Malaysian daily load
title_sort dynamic regression intervention modeling for the malaysian daily load
url http://psasir.upm.edu.my/id/eprint/37174/
http://psasir.upm.edu.my/id/eprint/37174/
http://psasir.upm.edu.my/id/eprint/37174/1/Dynamic%20regression%20intervention%20modeling%20for%20the%20Malaysian%20daily%20load.pdf