Modeling the impact of temperature on electricity consumption in the Eastern Province of Saudi Arabia

King Fahd University of Petroleum and Minerals, Saudi Arabia
Journal of Forecasting (Impact Factor: 0.93). 03/1996; 15(2):97 - 106. DOI: 10.1002/(SICI)1099-131X(199603)15:2<97::AID-FOR608>3.0.CO;2-L


An econometric model is developed to forecast electricity consumption and study the impact of ambient temperature, expressed in terms of degree days (DDs), on consumption in the Eastern Province of Saudi Arabia. It is apparent that temperature plays an important role in the demand for electricity. The relationship between the behaviour of electricity consumption and temperature expressed in DDs is explored.

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    • "Therefore, several research groups have studied consumption curves to foresee the power supplies or the design of various electrical infrastructures associated with a service zone. Some groups have attempted to forecast the peak values [6, 8, 14–20] or average values [21, 22] to design the infrastructures or their support equipment. "
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    ABSTRACT: This paper presents a comparative study of the electricity consumption (EC) in an urban low-voltage substation before and during the economic crisis (2008–2013). This low-voltage substation supplies electric power to near 400 users. The EC was measured for an 11-year period (2002–2012) with a sampling time of 1 minute. The study described in the paper consists of detecting the changes produced in the load curves of this substation along the time due to changes in the behaviour of consumers.The EC was compared using representative curves per time period (precrisis and crisis).These representative curves were obtained after a computational process, which was based on a search for days with similar curves to the curve of a determined (base) date. This similitude was assessed by the proximity on the calendar, day of the week, daylight time, and outdoor temperature. The last selection parameter was the error between the nearest neighbour curves and the base date curve. The obtained representative curves were linearized to determine changes in their structure (maximum and minimum consumption values, duration of the daily time slot, etc.).The results primarily indicate an increase in the EC in the night slot during the summer months in the crisis period.
    The Scientific World Journal 04/2014; 2014:14. DOI:10.1155/2014/948361 · 1.73 Impact Factor
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    01/1997; The British Council., ISBN: 0-86355-356-7
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    ABSTRACT: This paper investigates the relationship between electrical energy consumption and climate factors in Lebanon. The study is performed in two periods. The first period extends from 1992 to 1996 when power rationing was implemented. The second period extends from 1997 to 1999 when rationing was drastically reduced. Also, each period is divided into a winter and a summer season. In the first period, climate factors such as temperature, relative humidity and clearness index are found not to influence the electrical energy consumption due to widespread rationing and the regression coefficient shows inconsistencies and are not in the anticipated direction. In the second period, temperature has a significant effect on electrical energy consumption in the summer season, while this effect is not apparent in the winter. Also, the relative humidity and clearness index coefficients are found to be negative for the winter season and positive for the summer season. Furthemore, two co-integration tests show that the variables are co-integrated indicating the existence of long run relationships among them. The short run relationships are also estimated through error correction models. Copyright © 2001 John Wiley & Sons, Ltd.
    International Journal of Energy Research 10/2001; 25(12):1033 - 1042. DOI:10.1002/er.735 · 2.42 Impact Factor
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