期刊
INFORMATION SCIENCES
卷 590, 期 -, 页码 74-89出版社
ELSEVIER SCIENCE INC
DOI: 10.1016/j.ins.2022.01.003
关键词
Copula; Electricity; Kendall distribution; Solar and wind power; Tail dependence
资金
- Europe Energy S.p.A.
- Italian Ministry MIUR under the PRIN project Stochastic Models for Complex Systems [2017JFFHSH]
- Italian Ministry MIUR under the PRIN project Hi-Di NET-Econometric Analysis of High Dimensional Models with Network Structures in Macroeconomics and Finance [2017TA7TYC]
This paper examines the dependence between electricity prices, demand, and renewable energy sources in the German market. It finds a strong association between electricity prices, renewable energy sources, and demand within a day and over the studied years.
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.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据