A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load

Shakouri G, Hamed; Zaman, Hosain

doi:10.33762/eeej.2010.54346

	A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load
Iraqi Journal for Electrical And Electronic Engineering
Article 1, Volume 6, Issue 1, 2010, Pages 45-49 PDF (0 K)
DOI: 10.33762/eeej.2010.54346
Authors
Hamed Shakouri G; Hosain Zaman
Abstract
The intergovernmental panel for climate change predicted that the average temperature of our planet surface will increase by 1.4–5.8 °C by the end of 21th century. Limited resources of energy in joint to the effect of temperature on the energy consumption together attract our attention to the temperature changes phenomenon. Therefore, researches have focused on the problem, which is the effect of climate change on the energy consumption. Zmeureanu and Renaud proposed a method for estimation of the impact of climate change on heat energy consumption in households sector [1]. Peirson and Henley consider it as a dynamic problem and also shown that by using autoregressive specification we can obtain a good explanation of present load [2]. Pardo et al. studied the relationship between weather and electricity demand in Spain. They proposed a transfer function intervention model to predict the electricity demand in the hot and cold days [3]. Bessec and Fouquau studied the relationship between temperature and electricity consumption in 15 countries of European Union. They showed the nonlinearity link between electricity consumption and temperature found in more limited geographical areas in previous studies; also they showed that the sensitivity between electricity consumption and temperature increases in summer [4]. Franco and
Keywords
fuzzy regression; electricity consumption; Climate change

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