Return to search

Temporary Variables for Predicting Electricity Consumption Through Data Mining

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.

Identiferoai:union.ndltd.org:PERUUPC/oai:repositorioacademico.upc.edu.pe:10757/652132
Date07 January 2020
CreatorsSilva, Jesús, Senior Naveda, Alexa, Hernández Palma, Hugo, Niebles Núẽz, William, Niebles Núẽz, Leonardo
PublisherInstitute of Physics Publishing
Source SetsUniversidad Peruana de Ciencias Aplicadas (UPC)
LanguageEnglish
Detected LanguageEnglish
Typeinfo:eu-repo/semantics/article
Formatapplication/pdf
SourceJournal of Physics: Conference Series, 1432, 1
Rightsinfo:eu-repo/semantics/openAccess, Attribution-NonCommercial-ShareAlike 4.0 International, http://creativecommons.org/licenses/by-nc-sa/4.0/

Page generated in 0.0417 seconds