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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th-cmuir.6653943832-543692018-09-04T10:19:27Z Modeling daily peak electricity demand in Thailand Jirakom Sirisrisakulchai Songsak Sriboonchitta Computer Science Mathematics © 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. 2018-09-04T10:12:31Z 2018-09-04T10:12:31Z 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/6653943832/54369 |
| institution |
Chiang Mai University |
| building |
Chiang Mai University Library |
| country |
Thailand |
| collection |
CMU Intellectual Repository |
| topic |
Computer Science Mathematics |
| spellingShingle |
Computer Science Mathematics 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/6653943832/54369 |
| _version_ |
1681424307931054080 |