Intelligent system for non-technical losses management in residential users of the electricity sector
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| Natura: | Artículo científico |
| Lingua: | en |
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Universidad Nacional de Colombia
2018
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| _version_ | 1876440063916638208 |
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| author | Miguel A. Uparela |
| author_facet | Miguel A. Uparela |
| contents | Intelligent system for non-technical losses management in residential users of the electricity sector Miguel A. Uparela Ruben D. Gonzalez Jamer R. Jimenez Christian G. Quintero Ingeniería Non fraud detection technical losses intelligent systems irregular electricity consumption The identification of irregular users is an important assignment in the recovery of energy in the distribution sector. This analysis requires low error levels to minimize non-technical electrical losses in power grid. However, the detection of fraudulent users who have billing does not present a generalized methodology. This issue is complex and varies according to the case study. This paper presents a novel methodology to identify residential fraudulent users by using intelligent systems. The proposed intelligent system consists of three fundamental modules. The first module performs the classification of users with similar power consumption curves using self-organizing maps and genetic algorithms. The second module allows carrying out the monthly electricity demand forecasting through of recursive adjustment of ARIMA models. The third module performs the detection of fraudulent users through an artificial neural network for pattern recognition. For the design and validation of the proposed intelligent system, several tests were performed in each developed module. The database used for the design and evaluation of the modules was constructed with data supplied by the energy distribution company of the Colombian Caribbean Region. The results obtained by the proposed intelligent system show a better performance versus the detection rates obtained by the company. 2018 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64358073007 https://www.redalyc.org/journal/643/64358073007/ https://www.redalyc.org/journal/643/64358073007/html/ https://www.redalyc.org/journal/643/64358073007/64358073007.epub https://www.redalyc.org/journal/643/64358073007/movil 10.15446/ing.investig.v38n2.67331 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.38 |
| format | Artículo científico |
| id | redalyc_64358073007 |
| institution | Redalyc |
| language | en |
| publishDate | 2018 |
| publisher | Universidad Nacional de Colombia |
| spellingShingle | Intelligent system for non-technical losses management in residential users of the electricity sector Miguel A. Uparela Ingeniería Non fraud detection technical losses intelligent systems irregular electricity consumption Intelligent system for non-technical losses management in residential users of the electricity sector Miguel A. Uparela Ruben D. Gonzalez Jamer R. Jimenez Christian G. Quintero Ingeniería Non fraud detection technical losses intelligent systems irregular electricity consumption The identification of irregular users is an important assignment in the recovery of energy in the distribution sector. This analysis requires low error levels to minimize non-technical electrical losses in power grid. However, the detection of fraudulent users who have billing does not present a generalized methodology. This issue is complex and varies according to the case study. This paper presents a novel methodology to identify residential fraudulent users by using intelligent systems. The proposed intelligent system consists of three fundamental modules. The first module performs the classification of users with similar power consumption curves using self-organizing maps and genetic algorithms. The second module allows carrying out the monthly electricity demand forecasting through of recursive adjustment of ARIMA models. The third module performs the detection of fraudulent users through an artificial neural network for pattern recognition. For the design and validation of the proposed intelligent system, several tests were performed in each developed module. The database used for the design and evaluation of the modules was constructed with data supplied by the energy distribution company of the Colombian Caribbean Region. The results obtained by the proposed intelligent system show a better performance versus the detection rates obtained by the company. 2018 artículo científico 0120-5609 https://www.redalyc.org/articulo.oa?id=64358073007 https://www.redalyc.org/journal/643/64358073007/ https://www.redalyc.org/journal/643/64358073007/html/ https://www.redalyc.org/journal/643/64358073007/64358073007.epub https://www.redalyc.org/journal/643/64358073007/movil 10.15446/ing.investig.v38n2.67331 en http://www.redalyc.org/revista.oa?id=643 Ingeniería e Investigación application/pdf Universidad Nacional de Colombia Ingeniería e Investigación (Colombia) Num.2 Vol.38 |
| title | Intelligent system for non-technical losses management in residential users of the electricity sector |
| topic | Ingeniería Non fraud detection technical losses intelligent systems irregular electricity consumption |
| url | https://www.redalyc.org/articulo.oa?id=64358073007 https://www.redalyc.org/journal/643/64358073007/ https://www.redalyc.org/journal/643/64358073007/html/ https://www.redalyc.org/journal/643/64358073007/64358073007.epub https://www.redalyc.org/journal/643/64358073007/movil |