Understanding intraday electricity markets: Variable selection and very short-term price forecasting using LASSO

B-Tier
Journal: International Journal of Forecasting
Year: 2019
Volume: 35
Issue: 4
Pages: 1533-1547

Score contribution per author:

0.670 = (α=2.01 / 3 authors) × 1.0x B-tier

α: calibrated so average coauthorship-adjusted count equals average raw count

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.

Technical Details

RePEc Handle
repec:eee:intfor:v:35:y:2019:i:4:p:1533-1547
Journal Field
Econometrics
Author Count
3
Added to Database
2026-01-25