2020
DOI: 10.1016/j.jcomm.2019.100107
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Econometric modelling and forecasting of intraday electricity prices

Abstract: In the following paper, we analyse the ID 3 -Price in the German Intraday Continuous electricity market using an econometric time series model. A multivariate approach is conducted for hourly and quarter-hourly products separately. We estimate the model using lasso and elastic net techniques and perform an out-of-sample, very short-term forecasting study. The model's performance is compared with benchmark models and is discussed in detail. Forecasting results provide new insights to the German Intraday Continu… Show more

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Cited by 72 publications
(116 citation statements)
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References 26 publications
(45 reference statements)
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“…The index is a volume-weighted price of all transactions taking place in the time interval between 3 hours and 30 minutes before the delivery and it is calculated separately for each intraday product. The importance of the ID 3 -Price has been already noticed by the researchers and is a subject to modelling and forecasting by Uniejewski et al (2019) and Narajewski and Ziel (2019). In the latter paper, one can find a broader description and analysis of the ID 3 -Price and the German Intraday Continuous market.…”
Section: German Intraday Continuous Marketmentioning
confidence: 74%
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“…The index is a volume-weighted price of all transactions taking place in the time interval between 3 hours and 30 minutes before the delivery and it is calculated separately for each intraday product. The importance of the ID 3 -Price has been already noticed by the researchers and is a subject to modelling and forecasting by Uniejewski et al (2019) and Narajewski and Ziel (2019). In the latter paper, one can find a broader description and analysis of the ID 3 -Price and the German Intraday Continuous market.…”
Section: German Intraday Continuous Marketmentioning
confidence: 74%
“…Let us note that the models contain not more than 8 parameters, so their estimation should not be a problem. Figure 3 shows an example of fitting the aforementioned models qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq qq q q q q qq q q q q q q q q q q q qqq qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qq qq q q q q qq q q q q q q q q q q q qqq qq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q qqq q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q q This approach to the German Intraday Continuous was taken also by other researchers (Narajewski and Ziel, 2019;Uniejewski et al, 2019). Based on Figure 3, we may expect that considering the exponential distribution models, the models with quadratic and exponential intensity functions have similar performance in our problem.…”
Section: Figure 2: Illustration Of the Genf Distribution With Differementioning
confidence: 95%
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