首页|A multivariate dependence analysis for electricity prices, demand and renewable energy sources

A multivariate dependence analysis for electricity prices, demand and renewable energy sources

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This paper examines the dependence between electricity prices, demand, and renewable energy sources by means of a multivariate copula model while studying Germany, the widest studied market in Europe. The inter-dependencies are investigated in-depth and monitored over time, with particular emphasis on the tail behavior. To this end, suitable tail dependence measures are introduced to take into account a multivariate extreme scenario appropriately identified through the Kendall's distribution function. The empirical evidence demonstrates a strong association between electricity prices, renewable energy sources, and demand within a day and over the studied years. Hence, this analysis provides guidance for further and different incentives for promoting green energy generation while considering the time-varying dependencies of the involved variables. (C) 2022 Elsevier Inc. All rights reserved.

CopulaElectricityKendall distributionSolar and wind powerTail dependenceWIND POWERCOPULASGENERATIONRISKIMPACTVINESMODEL

Durante, Fabrizio、Gianfreda, Angelica、Ravazzolo, Francesco、Rossini, Luca

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Univ Salento

Univ Modena & Reggio Emilia

BI Norwegian Business Sch

Univ Milan

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2022

Information Sciences

Information Sciences

EISCI
ISSN:0020-0255
年,卷(期):2022.590
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