info:eu-repo/semantics/article
Temporary Variables for Predicting Electricity Consumption Through Data Mining
Fecha
2020-01-07Registro en:
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
Autor
Silva, Jesús
Senior Naveda, Alexa
Hernández Palma, Hugo
Niebles Núẽz, William
Niebles Núẽz, Leonardo
Institución
Resumen
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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