Modeling daily peak electricity demand in Thailand

© Springer International Publishing Switzerland 2015. Modeling of daily peak electricity demand is very crucial for reliability and security assessments of electricity suppliers as well as of electricity regulators. The aim of this paper is to model the peak electricity demand using the dynamic Peak...

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Main Authors: Jirakom Sirisrisakulchai, Songsak Sriboonchitta
Format: Conference Proceeding
Published: 2018
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http://cmuir.cmu.ac.th/jspui/handle/6653943832/44540
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Institution: Chiang Mai University
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spelling th-cmuir.6653943832-445402018-04-25T07:52:09Z Modeling daily peak electricity demand in Thailand Jirakom Sirisrisakulchai Songsak Sriboonchitta Agricultural and Biological Sciences © Springer International Publishing Switzerland 2015. Modeling of daily peak electricity demand is very crucial for reliability and security assessments of electricity suppliers as well as of electricity regulators. The aim of this paper is to model the peak electricity demand using the dynamic Peak-Over-Threshold approach. This approach uses the vector of covariates including time variable for modeling extremes. The effect of temperature and time dependence on shape and scale parameters of Generalized Pareto distribution for peak electricity demand is investigated and discussed in this article. Finally, the conditional return levels are computed for risk management. 2018-01-24T04:44:24Z 2018-01-24T04:44:24Z 2015-01-01 Conference Proceeding 03029743 2-s2.0-84958550330 10.1007/978-3-319-25135-6_43 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84958550330&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/44540
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Agricultural and Biological Sciences
spellingShingle Agricultural and Biological Sciences
Jirakom Sirisrisakulchai
Songsak Sriboonchitta
Modeling daily peak electricity demand in Thailand
description © Springer International Publishing Switzerland 2015. Modeling of daily peak electricity demand is very crucial for reliability and security assessments of electricity suppliers as well as of electricity regulators. The aim of this paper is to model the peak electricity demand using the dynamic Peak-Over-Threshold approach. This approach uses the vector of covariates including time variable for modeling extremes. The effect of temperature and time dependence on shape and scale parameters of Generalized Pareto distribution for peak electricity demand is investigated and discussed in this article. Finally, the conditional return levels are computed for risk management.
format Conference Proceeding
author Jirakom Sirisrisakulchai
Songsak Sriboonchitta
author_facet Jirakom Sirisrisakulchai
Songsak Sriboonchitta
author_sort Jirakom Sirisrisakulchai
title Modeling daily peak electricity demand in Thailand
title_short Modeling daily peak electricity demand in Thailand
title_full Modeling daily peak electricity demand in Thailand
title_fullStr Modeling daily peak electricity demand in Thailand
title_full_unstemmed Modeling daily peak electricity demand in Thailand
title_sort modeling daily peak electricity demand in thailand
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84958550330&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/44540
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