Open Access
Issue |
EPJ Web Conf.
Volume 326, 2025
International Conference on Functional Materials and Renewable Energies: COFMER’05 5th Edition
|
|
---|---|---|
Article Number | 02001 | |
Number of page(s) | 3 | |
Section | Renewable Energy Sources | |
DOI | https://doi.org/10.1051/epjconf/202532602001 | |
Published online | 21 May 2025 |
- S. D. Goddard, M. G. Henton, A. S. Hering, S. R. Sain, Evaluating the impacts of climate change on diurnal wind power cycles using multiple regional climate models, Environmetrics 26(3), pp. 192-201, (2015). [CrossRef] [Google Scholar]
- G. Sinden, Characteristics of the UK wind resource: long-term patterns and relationship to electricity demand, Energy Policy ;35(1), pp. 112-27, 2007. [CrossRef] [Google Scholar]
- P. Johnson, S. Howell, P. Duck, Partial differential equation methods for stochastic dynamic optimization: an application to wind power generation with energy storage, Philos Trans R Soc A, 375(2100), pp. 1-16, 2017. [Google Scholar]
- R. Zarate-Minano, M. Anghel, F. Milano, Continuous wind speed models based on stochastic differential equations, Appl Energy, 104, pp. 42-9, 2013. [CrossRef] [Google Scholar]
- E. Xydas, M. Qadrdan, C. Marmaras, L. Cipcigan, N. Jenkins, H. Ameli, Probabilistic wind power forecasting and its application in the scheduling of gas-fired generators, Appl Energy, 192, pp. 382-94, 2017. [CrossRef] [Google Scholar]
- A. Loukatoua, S. Howell, P. Johnson, P. Duck, Stochastic wind speed modelling for estimation of expected wind power output, Appl Energy, 228, pp. 1328–1340, 2018. [CrossRef] [Google Scholar]
- P. Pinson, H. Madsen, Adaptive Modelling and Forecasting of Offshore Wind Power Fluctuations with Markov-Switching autogressive Models, Journal of Forecasting, 31, no. 4, pp. 281–313, 2012. [CrossRef] [Google Scholar]
- I. Karatzas, S. E. Shreve, Brownian Motion and Stochastic Calculus, 2e éd., Graduate Texts in Mathematics, Springer, (1991). [Google Scholar]
- F. C. Klebaner, Introduction to stochastic calculus with applications, 2 ed., London: Imperial College Press, (2005). [CrossRef] [Google Scholar]
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