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.
"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. "
[Show abstract][Hide abstract] 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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