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 |
| _version_ | 1828307033932169216 |
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| author | Hamed Shakouri G. Hosain Zaman |
| author_facet | Hamed Shakouri G. Hosain Zaman |
| author_sort | Hamed Shakouri G. |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-13T14:52:01Z |
| format | Article |
| id | doaj.art-c71c5826500345bbb63a5e422e0f98fa |
| institution | Directory Open Access Journal |
| issn | 1814-5892 2078-6069 |
| language | English |
| last_indexed | 2024-04-13T14:52:01Z |
| publishDate | 2010-06-01 |
| publisher | College of Engineering, University of Basrah |
| record_format | Article |
| series | Iraqi Journal for Electrical and Electronic Engineering |
| spelling | doaj.art-c71c5826500345bbb63a5e422e0f98fa2022-12-22T02:42:34ZengCollege of Engineering, University of BasrahIraqi Journal for Electrical and Electronic Engineering1814-58922078-60692010-06-01614549A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak loadHamed Shakouri G.0 Hosain Zaman1Department of Industrial engineering, College of Engineering, University of Tehran Tehran, Iran Department of Industrial engineering, College of Engineering, University of Tehran Tehran, Iran 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.http://ijeee.org/volums/volume6/IJEEE6PDF/Paper69.pdffuzzy regressionelectricity consumptionclimate chang |
| spellingShingle | Hamed Shakouri G. Hosain Zaman 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 fuzzy regression electricity consumption climate chang |
| title | A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load |
| title_full | A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load |
| title_fullStr | A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load |
| title_full_unstemmed | A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load |
| title_short | A combined 2-dimensional fuzzy regression model to study effect of climate change on the electrical peak load |
| title_sort | combined 2 dimensional fuzzy regression model to study effect of climate change on the electrical peak load |
| topic | fuzzy regression electricity consumption climate chang |
| url | http://ijeee.org/volums/volume6/IJEEE6PDF/Paper69.pdf |
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