Temporary Variables for Predicting Electricity Consumption Through Data Mining

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...

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Bibliographic Details
Main Authors: Silva, Jesús, Senior Naveda, Alexa, Hernández Palma, Hugo, Niebles Núẽz, William, Niebles Núẽz, Leonardo
Format: Article
Language:English
Published: Institute of Physics Publishing 2020
Subjects:
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
Online Access:http://hdl.handle.net/10757/652132

Internet

http://hdl.handle.net/10757/652132

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