Correlation between climate data and maximum electricity demand in Qatar

Adel Gastli, Yassine Charabi, Rashid A. Alammari, Ali M. Al-Ali

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Citations (Scopus)

Abstract

This paper presents the analysis of the impact of weather conditions on the maximum electricity demand in Qatar during the whole year 2012. It points out the maximum daily air temperature as the most influential climate (meteorological) parameter. Correlation between maximum daily temperature and maximum daily electricity demand are also indicated and analyzed. It is noticed that there is a linear correlation between these two variables for maximum temperature values above 22°C because of the air-conditioning type of the major load. During extremely hot summer periods, there is a tendency of increased electricity consumption because of air conditioning. A timely and accurate weather forecast can certainly help prevent the electrical power system overload and reduce the risk of possible power system damage.

Original languageEnglish
Title of host publication2013 7th IEEE GCC Conference and Exhibition, GCC 2013
Pages565-570
Number of pages6
DOIs
Publication statusPublished - 2013
Event2013 7th IEEE GCC Conference and Exhibition, GCC 2013 - Doha, Qatar
Duration: Nov 17 2013Nov 20 2013

Other

Other2013 7th IEEE GCC Conference and Exhibition, GCC 2013
CountryQatar
CityDoha
Period11/17/1311/20/13

Fingerprint

Electricity
Air conditioning
Temperature
Air

Keywords

  • Air Conditioning
  • Correlation
  • Electricity Demand
  • Humidity
  • Qatar
  • Temperature
  • Weather

ASJC Scopus subject areas

  • Electrical and Electronic Engineering

Cite this

Gastli, A., Charabi, Y., Alammari, R. A., & Al-Ali, A. M. (2013). Correlation between climate data and maximum electricity demand in Qatar. In 2013 7th IEEE GCC Conference and Exhibition, GCC 2013 (pp. 565-570). [6705841] https://doi.org/10.1109/IEEEGCC.2013.6705841

Correlation between climate data and maximum electricity demand in Qatar. / Gastli, Adel; Charabi, Yassine; Alammari, Rashid A.; Al-Ali, Ali M.

2013 7th IEEE GCC Conference and Exhibition, GCC 2013. 2013. p. 565-570 6705841.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Gastli, A, Charabi, Y, Alammari, RA & Al-Ali, AM 2013, Correlation between climate data and maximum electricity demand in Qatar. in 2013 7th IEEE GCC Conference and Exhibition, GCC 2013., 6705841, pp. 565-570, 2013 7th IEEE GCC Conference and Exhibition, GCC 2013, Doha, Qatar, 11/17/13. https://doi.org/10.1109/IEEEGCC.2013.6705841
Gastli A, Charabi Y, Alammari RA, Al-Ali AM. Correlation between climate data and maximum electricity demand in Qatar. In 2013 7th IEEE GCC Conference and Exhibition, GCC 2013. 2013. p. 565-570. 6705841 https://doi.org/10.1109/IEEEGCC.2013.6705841
Gastli, Adel ; Charabi, Yassine ; Alammari, Rashid A. ; Al-Ali, Ali M. / Correlation between climate data and maximum electricity demand in Qatar. 2013 7th IEEE GCC Conference and Exhibition, GCC 2013. 2013. pp. 565-570
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