Abstract
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.
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Sirisrisakulchai, J., Sriboonchitta, S. (2015). Modeling Daily Peak Electricity Demand in Thailand. In: Huynh, VN., Inuiguchi, M., Demoeux, T. (eds) Integrated Uncertainty in Knowledge Modelling and Decision Making. IUKM 2015. Lecture Notes in Computer Science(), vol 9376. Springer, Cham. https://doi.org/10.1007/978-3-319-25135-6_43
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DOI: https://doi.org/10.1007/978-3-319-25135-6_43
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