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Forecasting power l...
Forecasting power load curves from spatial and temporal mobile data
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- Coelho, Frederico (author)
- Universidade Federal de Minas Gerais
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- Menezes, Murilo (author)
- Universidade Federal de Minas Gerais
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- Ribeiro, Lourenço (author)
- Universidade Federal de Minas Gerais
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- Barbosa, André (author)
- Universidade Federal de Minas Gerais
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- Silva, Vinicius (author)
- Universidade Federal de Minas Gerais
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- Braga, Antônio P. (author)
- Universidade Federal de Minas Gerais
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- Natalino Da Silva, Carlos, 1987 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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- Monti, Paolo, 1973 (author)
- Chalmers tekniska högskola,Chalmers University of Technology
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(creator_code:org_t)
- 2020
- 2020
- English.
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In: World Review of Science, Technology and Sustainable Development. - 1741-2234 .- 1741-2242. ; 16:1, s. 4-21
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Abstract
Subject headings
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- This work aims at applying computational intelligence approaches to telecommunication data, in order to associate mobile data to energy consumption load curves. Clustering methods are applied in order to allow the telecommunication network to infer about its topology and consumption load forecasting. Through an extensive analysis of Telecom Italia dataset and power distribution lines data available for the city of Trento, it was possible to confirm the high correlation between them, mainly when voice data is considered. To a great extent, this correlation can be explained by the fact that cellular communication devices are physically present in the service area of the distribution lines and when people are communicating, they are also consuming energy. Based on the aforementioned dataset, load curves for the city of Trento were constructed having as inputs data from telecommunication transactions. Results show that it is possible to use the telecommunication load as the input to predict the energy load, with the proposed model performing better than the naive predictor in 82% of the tested distribution lines.
Subject headings
- NATURVETENSKAP -- Data- och informationsvetenskap -- Datorteknik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Computer Engineering (hsv//eng)
- TEKNIK OCH TEKNOLOGIER -- Elektroteknik och elektronik -- Kommunikationssystem (hsv//swe)
- ENGINEERING AND TECHNOLOGY -- Electrical Engineering, Electronic Engineering, Information Engineering -- Communication Systems (hsv//eng)
- NATURVETENSKAP -- Data- och informationsvetenskap -- Bioinformatik (hsv//swe)
- NATURAL SCIENCES -- Computer and Information Sciences -- Bioinformatics (hsv//eng)
Keyword
- Energy forecasting
- Mobile data
- Learning
- Smartphones
- Clustering
Publication and Content Type
- art (subject category)
- ref (subject category)
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