NDLTD Global ETD Search
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  • About
  • The Global ETD Search service is a free service for researchers to find electronic theses and dissertations. This service is provided by the Networked Digital Library of Theses and Dissertations.
    Our metadata is collected from universities around the world. If you manage a university/consortium/country archive and want to be added, details can be found on the NDLTD website.

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Temporary Variables for Predicting Electricity Consumption Through Data Mining

Silva, Jesús, Senior Naveda, Alexa, Hernández Palma, Hugo, Niebles Núẽz, William, Niebles Núẽz, Leonardo 07 January 2020 (has links)
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.
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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