On the Influence of Renewable Energy Sources in Electricity Price Forecasting in the Iberian Market

被引：10

作者：

Aineto, Diego ^{[1
]}

Iranzo-Sanchez, Javier ^{[1
]}

Lemus-Zuniga, Lenin G. ^{[2
]}

Onaindia, Eva ^{[1
]}

Urchueguia, Javier F. ^{[2
]}

机构：

[1] Univ Politecn Valencia, Dept Sistemas Informat & Comp, E-46022 Valencia, Spain

[2] Univ Politecn Valencia, ITACA, E-46022 Valencia, Spain

来源：

ENERGIES | 2019年 / 12卷 / 11期

关键词：

electricity market; electricity price forecasting; day-ahead market; recurrent neural networks; renewable energies; IMPACT; MODELS; INTERMITTENT;

D O I：

10.3390/en12112082

中图分类号：

TE [石油、天然气工业]; TK [能源与动力工程];

学科分类号：

0807 ; 0820 ;

摘要：

The mainstream of EU policies is heading towards the conversion of the nowadays electricity consumer into the future electricity prosumer (producer and consumer) in markets in which the production of electricity will be more local, renewable and economically efficient. One key component of a local short-term and medium-term planning tool to enable actors to efficiently interact in the electric pool markets is the ability to predict and decide on forecast prices. Given the progressively more important role of renewable production in local markets, we analyze the influence of renewable energy production on the electricity price in the Iberian market through historical records. The dependencies discovered in this analysis will serve to identify the forecasts to use as explanatory variables for an electricity price forecasting model based on recurrent neural networks. The results will show the wide impact of using forecasted renewable energy production in the price forecasting.

引用

页数：20

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