Forecasting day-ahead electricity prices: Utilizing hourly prices

A-Tier
Journal: Energy Economics
Year: 2015
Volume: 50
Issue: C
Pages: 227-239

Authors (3)

Raviv, Eran (not in RePEc) Bouwman, Kees E. (not in RePEc) van Dijk, Dick (Erasmus Universiteit Rotterdam)

Score contribution per author:

1.341 = (α=2.01 / 3 authors) × 2.0x A-tier

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

Abstract

The daily average price of electricity represents the price of electricity to be delivered over the full next day and serves as a key reference price in the electricity market. It is an aggregate that equals the average of hourly prices for delivery during each of the 24 individual hours. This paper demonstrates that the disaggregated hourly prices contain useful predictive information for the daily average price in the Nord Pool market. Multivariate models for the full panel of hourly prices significantly outperform univariate models of the daily average price, with reductions in Root Mean Squared Error of up to 16%. Substantial care is required in order to achieve these forecast improvements. Rich multivariate models are needed to exploit the relations between different hourly prices, but the risk of overfitting must be mitigated by using dimension reduction techniques, shrinkage and forecast combinations.

Technical Details

RePEc Handle
repec:eee:eneeco:v:50:y:2015:i:c:p:227-239
Journal Field
Energy
Author Count
3
Added to Database
2026-01-29