Modelling Electricity Prices: International Evidence
By Álvaro Escribano, J. Peña, Pablo Villaplana. 2002
362 citations recorded by the source corpus.
Subfields: Economics and Econometrics, Electrical and Electronic Engineering
View Paper: https://www.semanticscholar.org/paper/34cc6ff6fd098f5e3ab0903d6f7ae1172663d206
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Economics and Econometrics
- Florian Ziel
- Rafal Weron
- R. Steinert
- Steen Koekebakker
- Marcelo G. Figueroa
- Á. Cartea
- Nektaria V. Karakatsani
- Jonas Andersson
In Electrical and Electronic Engineering
- Rafal Weron
- Florian Ziel
- R. Steinert
- Fred Espen Benth
- Jakub Nowotarski
- D. W. Bunn
- Janina Ketterer
- Á. Cartea
Citations in the corpus
- Modeling and Forecasting Electricity Loads and Prices: A Statistical Approach (2006, background): “To circumvent this, Escribano et al. (2002) allowed signed jumps. But if these randomly follow each other, the spike shape has obviously a very low probability of being generated. Geman and Roncoroni (2006) suggested using mean reversion coupled with upward and downward jumps, with the direction of ”
- Electricity price forecasting using sale and purchase curves: The X-Model (2015, background): “Second, there are diffusion models, which add a jump component, e.g. a Poisson process, to allow for price spikes (see, for instance Weron (2008), Escribano et al. (2011)).”
- Probabilistic forecasts of the magnitude and timing of peak electricity demand (2005, neutral): “In addition, forecasts of demand have become even more important because they are also required for estimating future electricity spot prices [1], [2].”
- Electricity prices, large-scale renewable integration, and policy implications (2017, background): “These properties, or stylized facts, have been investigated by a substantial body of literature, including studies by Knittel and Roberts (2005), Higgs and Worthington (2008), Karakatsani and Bunn (2008), Escribano et al. (2011), and Fanone et al. (2013).”
- Does renewable energy generation decrease the volatility of electricity prices? An analysis of Denmark and Germany (2017, neutral): “Because power markets exhibit a high degree of volatility and volatility clustering [12], GARCH models can also be used to analyse electricity prices.”
- The Nature of Power Spikes: A Regime-Switch Approach (2005, neutral): “The most common approach is the addition of a stochastic jump process to the mean-reverting process (Escribano et al, 2002, Deng, 1999).”