Author:
Jacob Maria,Neves Cláudia,Vukadinović Greetham Danica
Abstract
AbstractWhen studying peaks in electricity demand, we may be interested in understanding the risk of a certain large level for demand being exceeded. For example, there is potential interest in finding the probability that the electricity demand of a business or household exceeds the contractual limit. An alternative, yet in principle equivalent way, involves assessment of maximal needs for electricity over a certain period of time, like a day, a week or a season within a year. This would stem from the potential interested in quantifying the largest electricity consumption for a substation, household or business.
Publisher
Springer International Publishing
Reference43 articles.
1. Beirlant, J., Goegebeur, Y., Segers, J., Teugels, J.L.: Statistics of Extremes: Theory and Applications. Wiley (2004)
2. Castillo, E., Hadi, A., Balakrishnan, N., Sarabia, J.M.: Extreme Value and Related Models with Applications in Engineering and Science. Wiley, Hoboken, New Jersey (2005)
3. de Haan, L,. Ferreira, A.: Extreme Value Theory: An Introduction. Springer (2006)
4. Gumbel, E.J.: Statistics of Extremes. Columbia University Press, New York and London (1958b)
5. Melinda Gálfi, V., Bódai, T., Lucarini, V.: Convergence of extreme value statistics in a two-layer quasi-geostrophic atmospheric model. Complexity (2017)
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