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We study the impact of fuel prices, emission allowances, demand, past prices, wind and solar production on hourly day-ahead electricity prices in Germany over the period from January 2015 until June 2018. Working within a linear regression, ARX-EGARCH and quantile regression framework we compare...
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challenge. Australia's target is to reduce carbon emissions by between 26% and 28% by 2030 compared to 2005 emission levels … causality among electricity pricing, carbon prices, and carbon emissions in the long run. Therefore, Australia needs to …
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introduction had on electricity market. The most relevant effect is the reduction of the level of electricity price's volatility … multiple linear regression. Then, to study volatility dynamics, we fit a two-states Markov-switching model to represent a high-volatility … and a low-volatility states of the world. This model highlighted that in both states the level of volatility is lower and …
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weather conditions. To account for the uncertainty in predicting wind power production, this article examines the volatility …-switching GARCH (MRS-GARCH) model on forecasting volatility of wind power. The realized volatility, which is derived from lower …-scale data, serves as a benchmark for the latent volatility. We find that the MRS-GARCH model significantly outperforms …
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