Forecasting day-ahead electricity prices: Utilizing hourly prices

被引:77
|
作者
Raviv, Eran [1 ]
Bouwman, Kees E.
van Dijk, Dick [2 ,3 ,4 ]
机构
[1] APG Asset Management, Heerlen, Netherlands
[2] Erasmus Univ, Inst Econometr, Rotterdam, Netherlands
[3] Tinbergen Inst, Amsterdam, Netherlands
[4] Erasmus Res Inst Management, Rotterdam, Netherlands
关键词
Electricity market; Forecasting; Hourly prices; Dimension reduction; Shrinkage; Forecast combinations; DEMAND;
D O I
10.1016/j.eneco.2015.05.014
中图分类号
F [经济];
学科分类号
02 ;
摘要
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. (C) 2015 Elsevier B.V. All rights reserved.
引用
收藏
页码:227 / 239
页数:13
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