Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO
Bartosz Uniejewski,
Grzegorz Marcjasz and
Rafał Weron
International Journal of Forecasting, 2019, vol. 35, issue 4, 1533-1547
Abstract:
We use a unique set of prices from the German EPEX market and take a closer look at the fine structure of intraday markets forelectricity, with their continuous trading for individual load periods up to 30 min before delivery. We apply the least absolute shrinkage and selection operator (LASSO) in order to gain statistically sound insights on variable selection and provide recommendations for very short-term electricity price forecasting.
Keywords: Intraday electricity market; Variable selection; Price forecasting; LASSO; ARX model; Diebold-Mariano test; Trading strategy (search for similar items in EconPapers)
Date: 2019
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (58)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0169207019300123
Full text for ScienceDirect subscribers only
Related works:
Working Paper: Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO (2018) 
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:intfor:v:35:y:2019:i:4:p:1533-1547
DOI: 10.1016/j.ijforecast.2019.02.001
Access Statistics for this article
International Journal of Forecasting is currently edited by R. J. Hyndman
More articles in International Journal of Forecasting from Elsevier
Bibliographic data for series maintained by Catherine Liu ().