Correlation between air temperature and electricity demand by linear regression and wavelet coherence approach: UK, Slovakia and Bosnia and Herzegovina case study

被引：12

作者：

Avdakovic, Samir ^{[1
]}

Ademovic, Alma ^{[1
]}

Nuhanovic, Amir ^{[2
]}

机构：

[1] EPC Elektroprivreda B&H DD Sarajevo, Dept Strateg Dev, Vilsonovo Setaliste 15, Sarajevo 71000, Bosnia & Herceg

[2] Univ Tuzla, Fac Elect Engn, Dept Power Syst Anal, Franjevacka 2, Tuzla 75000, Bosnia & Herceg

来源：

ARCHIVES OF ELECTRICAL ENGINEERING | 2013年 / 62卷 / 04期

关键词：

power system; electricity demand; air temperature; linear regression; wavelet coherence;

D O I：

10.2478/aee-2013-0042

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

In this paper, the results of correlations between air temperature and electricity demand by linear regression and Wavelet Coherence (WTC) approach for three different European countries are presented. The results show a very close relationship between air temperature and electricity demand for the selected power systems, however, the WTC approach presents interesting dynamics of correlations between air temperature and electricity demand at different time-frequency space and provide useful information for a more complete understanding of the related consumption.

引用

页码：521 / 532

页数：12

共 31 条

[1] Using wavelets to decompose the time-frequency effects of monetary policy [J].