IDEAS home Printed from https://ideas.repec.org/r/eee/enepol/v39y2011i9p4742-4754.html
   My bibliography  Save this item

Spatial dependence in wind and optimal wind power allocation: A copula-based analysis

Citations

Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
as


Cited by:

  1. Hirth, Lion & Müller, Simon, 2016. "System-friendly wind power," Energy Economics, Elsevier, vol. 56(C), pages 51-63.
  2. Girard, R. & Laquaine, K. & Kariniotakis, G., 2013. "Assessment of wind power predictability as a decision factor in the investment phase of wind farms," Applied Energy, Elsevier, vol. 101(C), pages 609-617.
  3. Jägemann, Cosima, 2014. "An illustrative note on the system price effect of wind and solar power - The German case," EWI Working Papers 2014-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  4. Elberg, Christina & Hagspiel, Simeon, 2013. "Spatial Dependencies of Wind Power and Interrelations with Spot Price Dynamics," EWI Working Papers 2013-11, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  5. Díaz, Guzmán & Moreno, Blanca & Coto, José & Gómez-Aleixandre, Javier, 2015. "Valuation of wind power distributed generation by using Longstaff–Schwartz option pricing method," Applied Energy, Elsevier, vol. 145(C), pages 223-233.
  6. Nuño Martinez, Edgar & Cutululis, Nicolaos & Sørensen, Poul, 2018. "High dimensional dependence in power systems: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 197-213.
  7. Christensen, Troels Sønderby & Pircalabu, Anca & Høg, Esben, 2019. "A seasonal copula mixture for hedging the clean spark spread with wind power futures," Energy Economics, Elsevier, vol. 78(C), pages 64-80.
  8. Klie, Leo & Madlener, Reinhard, 2022. "Optimal configuration and diversification of wind turbines: A hybrid approach to improve the penetration of wind power," Energy Economics, Elsevier, vol. 105(C).
  9. Pircalabu, A. & Benth, F.E., 2017. "A regime-switching copula approach to modeling day-ahead prices in coupled electricity markets," Energy Economics, Elsevier, vol. 68(C), pages 283-302.
  10. Grothe, Oliver & Müsgens, Felix, 2013. "The influence of spatial effects on wind power revenues under direct marketing rules," Energy Policy, Elsevier, vol. 58(C), pages 237-247.
  11. Bucksteeg, Michael, 2019. "Modelling the impact of geographical diversification of wind turbines on the required firm capacity in Germany," Applied Energy, Elsevier, vol. 235(C), pages 1476-1491.
  12. Hain, Martin & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2018. "Managing renewable energy production risk," Journal of Banking & Finance, Elsevier, vol. 97(C), pages 1-19.
  13. Engelhorn, Thorsten & Müsgens, Felix, 2021. "Why is Germany’s energy transition so expensive? Quantifying the costs of wind-energy decentralisation," Resource and Energy Economics, Elsevier, vol. 65(C).
  14. Díaz, Guzmán & Coto, José & Gómez-Aleixandre, Javier, 2019. "Optimal operation value of combined wind power and energy storage in multi-stage electricity markets," Applied Energy, Elsevier, vol. 235(C), pages 1153-1168.
  15. Lauren Knapp & Jacob Ladenburg, 2015. "How Spatial Relationships Influence Economic Preferences for Wind Power—A Review," Energies, MDPI, vol. 8(6), pages 1-25, June.
  16. Fabrizio Durante & Angelica Gianfreda & Francesco Ravazzolo & Luca Rossini, 2022. "A Multivariate Dependence Analysis for Electricity Prices, Demand and Renewable Energy Sources," Papers 2201.01132, arXiv.org.
  17. Grave, Katharina & Paulus, Moritz & Lindenberger, Dietmar, 2012. "A method for estimating security of electricity supply from intermittent sources: Scenarios for Germany until 203011The paper is based on a study of the Institute of Energy Economics at the University," Energy Policy, Elsevier, vol. 46(C), pages 193-202.
  18. Obermüller, Frank, 2017. "Build Wind Capacities at Windy Locations? Assessment of System Optimal Wind Locations," EWI Working Papers 2017-9, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  19. Ladenburg, Jacob & Termansen, Mette & Hasler, Berit, 2013. "Assessing acceptability of two onshore wind power development schemes: A test of viewshed effects and the cumulative effects of wind turbines," Energy, Elsevier, vol. 54(C), pages 45-54.
  20. Thomaidis, Nikolaos S. & Christodoulou, Theodoros & Santos-Alamillos, Francisco J., 2023. "Handling the risk dimensions of wind energy generation," Applied Energy, Elsevier, vol. 339(C).
  21. Guglielmo D’Amico & Giovanni Masala & Filippo Petroni & Robert Adam Sobolewski, 2020. "Managing Wind Power Generation via Indexed Semi-Markov Model and Copula," Energies, MDPI, vol. 13(16), pages 1-21, August.
  22. Castro, Gabriel Malta & Klöckl, Claude & Regner, Peter & Schmidt, Johannes & Pereira, Amaro Olimpio, 2022. "Improvements to Modern Portfolio Theory based models applied to electricity systems," Energy Economics, Elsevier, vol. 111(C).
  23. Gabriel Malta Castro & Claude Klockl & Peter Regner & Johannes Schmidt & Amaro Olimpio Pereira Jr, 2021. "Improvements to Modern Portfolio Theory based models applied to electricity systems," Papers 2105.08182, arXiv.org.
  24. Grothe, Oliver & Müsgens, Felix, 2012. "The influence of spatial effects on wind power revenues under direct marketing rules," EWI Working Papers 2012-7, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
  25. Müller, Inga M., 2022. "Energy system modeling with aggregated time series: A profiling approach," Applied Energy, Elsevier, vol. 322(C).
  26. Elberg, Christina & Hagspiel, Simeon, 2015. "Spatial dependencies of wind power and interrelations with spot price dynamics," European Journal of Operational Research, Elsevier, vol. 241(1), pages 260-272.
  27. Hain, Martin & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2017. "An Electricity Price Modeling Framework for Renewable-Dominant Markets," Working Paper Series in Production and Energy 23, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  28. Álvarez-García, Francisco J. & Fresno-Schmolk, Gonzalo & OrtizBevia, María J. & Cabos, William & RuizdeElvira, Antonio, 2020. "Reduction of aggregate wind power variability using Empirical Orthogonal Teleconnections: An application in the Iberian Peninsula," Renewable Energy, Elsevier, vol. 159(C), pages 151-161.
  29. Stéphane Goutte & David Guerreiro & Bilel Sanhaji & Sophie Saglio & Julien Chevallier, 2019. "International Financial Markets," Post-Print halshs-02183053, HAL.
  30. Rediske, G. & Burin, H.P. & Rigo, P.D. & Rosa, C.B. & Michels, L. & Siluk, J.C.M., 2021. "Wind power plant site selection: A systematic review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 148(C).
  31. Hain, Martin & Kargus, Tobias & Schermeyer, Hans & Uhrig-Homburg, Marliese & Fichtner, Wolf, 2022. "An electricity price modeling framework for renewable-dominant markets," Working Paper Series in Production and Energy 66, Karlsruhe Institute of Technology (KIT), Institute for Industrial Production (IIP).
  32. Paulus, Moritz & Grave, Katharina & Lindenberger, Dietmar, 2011. "A methodology to estimate security of supply in electricity generation: results for Germany until 2030 given a high level of intermittent electricity feed-in," EWI Working Papers 2011-10, Energiewirtschaftliches Institut an der Universitaet zu Koeln (EWI).
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.