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Conditionally independent increment processes for modeling electricity prices with regard to renewable power generation

Daniel Lingohr and Gernot Müller

Energy Economics, 2021, vol. 103, issue C

Abstract: Renewable energies have become responsible for a large part of the variation in electricity prices. We offer a new approach that makes it possible to represent this dependency in a flexible way. This allows to vary especially price spikes both in direction and size according to the generation of wind and solar power. The proposed concept is based on the construction of a process with conditionally independent increment. We provide an estimation procedure for them and offer a test to verify the dependency on an external variable. Based on the theoretical results, we fit an electricity price model for the German intraday market and use it to analyze power cap/floor prices.

Keywords: Dependence modeling; External process; Residual demand; Spikes; Intraday prices; Power cap; Power floor; Market price of risk; Forecast information (search for similar items in EconPapers)
JEL-codes: C14 C32 C51 Q41 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (2)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:eneeco:v:103:y:2021:i:c:s0140988321001493

DOI: 10.1016/j.eneco.2021.105244

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Energy Economics is currently edited by R. S. J. Tol, Beng Ang, Lance Bachmeier, Perry Sadorsky, Ugur Soytas and J. P. Weyant

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