Temporary Variables for Predicting Electricity Consumption Through Data Mining
Descripción del Articulo
In the new global and local scenario, the advent of intelligent distribution networks or Smart Grids allows real-time collection of data on the operating status of the electricity grid. Based on this availability of data, it is feasible and convenient to predict consumption in the short term, from a...
| Autores: | , , , , |
|---|---|
| Formato: | artículo |
| Fecha de Publicación: | 2020 |
| Institución: | Universidad Peruana de Ciencias Aplicadas |
| Repositorio: | UPC-Institucional |
| Lenguaje: | inglés |
| OAI Identifier: | oai:repositorioacademico.upc.edu.pe:10757/652132 |
| Enlace del recurso: | http://hdl.handle.net/10757/652132 |
| Nivel de acceso: | acceso abierto |
| Materia: | Data mining Electric power transmission networks Electric power utilization Forecasting Electricity grids Electricity-consumption Intelligent distribution networks Prediction systems Real-time collection Short term Smart grid Time variable |
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| dc.title.en_US.fl_str_mv |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| title |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| spellingShingle |
Temporary Variables for Predicting Electricity Consumption Through Data Mining Silva, Jesús Data mining Electric power transmission networks Electric power utilization Forecasting Electricity grids Electricity-consumption Intelligent distribution networks Prediction systems Real-time collection Short term Smart grid Time variable |
| title_short |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| title_full |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| title_fullStr |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| title_full_unstemmed |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| title_sort |
Temporary Variables for Predicting Electricity Consumption Through Data Mining |
| author |
Silva, Jesús |
| author_facet |
Silva, Jesús Senior Naveda, Alexa Hernández Palma, Hugo Niebles Núẽz, William Niebles Núẽz, Leonardo |
| author_role |
author |
| author2 |
Senior Naveda, Alexa Hernández Palma, Hugo Niebles Núẽz, William Niebles Núẽz, Leonardo |
| author2_role |
author author author author |
| dc.contributor.author.fl_str_mv |
Silva, Jesús Senior Naveda, Alexa Hernández Palma, Hugo Niebles Núẽz, William Niebles Núẽz, Leonardo |
| dc.subject.en_US.fl_str_mv |
Data mining Electric power transmission networks Electric power utilization Forecasting Electricity grids Electricity-consumption Intelligent distribution networks Prediction systems Real-time collection Short term Smart grid Time variable |
| topic |
Data mining Electric power transmission networks Electric power utilization Forecasting Electricity grids Electricity-consumption Intelligent distribution networks Prediction systems Real-time collection Short term Smart grid Time variable |
| description |
In the new global and local scenario, the advent of intelligent distribution networks or Smart Grids allows real-time collection of data on the operating status of the electricity grid. Based on this availability of data, it is feasible and convenient to predict consumption in the short term, from a few hours to a week. The hypothesis of the study is that the method used to present time variables to a prediction system of electricity consumption affects the results. |
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2020 |
| dc.date.accessioned.none.fl_str_mv |
2020-06-30T21:57:26Z |
| dc.date.available.none.fl_str_mv |
2020-06-30T21:57:26Z |
| dc.date.issued.fl_str_mv |
2020-01-07 |
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info:eu-repo/semantics/article |
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17426588 |
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10.1088/1742-6596/1432/1/012033 |
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http://hdl.handle.net/10757/652132 |
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17426596 |
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Journal of Physics: Conference Series |
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2-s2.0-85079101136 |
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17426588 10.1088/1742-6596/1432/1/012033 17426596 Journal of Physics: Conference Series 2-s2.0-85079101136 SCOPUS_ID:85079101136 0000 0001 2196 144X |
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http://hdl.handle.net/10757/652132 |
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eng |
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eng |
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application/pdf |
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Institute of Physics Publishing |
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Journal of Physics: Conference Series |
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1432 |
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Nota importante:
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
La información contenida en este registro es de entera responsabilidad de la institución que gestiona el repositorio institucional donde esta contenido este documento o set de datos. El CONCYTEC no se hace responsable por los contenidos (publicaciones y/o datos) accesibles a través del Repositorio Nacional Digital de Ciencia, Tecnología e Innovación de Acceso Abierto (ALICIA).
