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

• Autorzy: Avdakovic S , Ademovic A. , Nuhanovic A.

Identyfikatory

DOI

10.2478/aee-2013-0042

• Języki publikacji: EN

Abstrakty

EN

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.

Słowa kluczowe

EN

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

• Wydawca: Polish Academy of Sciences, Committee on Electrical Engineering
• Czasopismo: Archives of Electrical Engineering
• Rocznik: 2013
• Tom: Vol. 62, nr 4
• Strony: 521--532
• Opis fizyczny: Bibliogr. 33 poz., rys., tab.

Twórcy

autor

Avdakovic S

• EPC Elektroprivreda B&H D.D. Sarajevo, Department of Strategic Development Vilsonovo setaliste 15, 71000 Sarajevo, Bosnia and Herzegovina

autor

Ademovic A.

• EPC Elektroprivreda B&H D.D. Sarajevo, Department of Strategic Development Vilsonovo setaliste 15, 71000 Sarajevo, Bosnia and Herzegovina

autor

Nuhanovic A.

• University of Tuzla, Faculty of Electrical Engineering, Department of Power Systems Analysis Franjevacka 2, 75000 Tuzla, Bosnia and Herzegovina

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