A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load
This paper studies the impact of climate change on the electricity consumption by means of a fuzzy regression approach. The climate factors which have been considered in this paper are humidity and temperature, whereas the simultaneous effect of these two climate factors is considered. The impa...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
College of Engineering, University of Basrah
2010-06-01
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| Series: | Iraqi Journal for Electrical and Electronic Engineering |
| Subjects: | |
| Online Access: | http://ijeee.org/volums/volume6/IJEEE6PDF/Paper69.pdf |
| Summary: | This paper studies the impact of climate change on
the electricity consumption by means of a fuzzy regression
approach. The climate factors which have been considered in
this paper are humidity and temperature, whereas the
simultaneous effect of these two climate factors is considered.
The impacts of other climate variables, like the wind, with a
minor effect on energy consumption are ignored. The
innovation which applies in this paper is the division of the
year into two parts by using the temperature-day graph in the
year. To index the humidity, data of the minimum humidity
per day are used. For temperature, the maximum temperature
of the first part of the year (warm days) and the minimum of
the second part (cold days) are used. The indicator for the
consumption is the daily peak load. The model results show
high sensitivity to the temperature but low sensitivity to the
humidity. Moreover, it is concluded that the model structure
cannot be the same and for the cold par additional variables
such as gas consumption should be considered. |
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| ISSN: | 1814-5892 2078-6069 |