Temporary Variables for Predicting Electricity Consumption Through Data Mining

Silva J.; Senior Naveda A.; Hernández Palma H.; Niebles Núẽz W.; Niebles Núẽz L. · Journal of Physics: Conference Series (2020) · DOI: 10.1088/1742-6596/1432/1/012033

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. © Published under licence by IOP Publishing Ltd.

Instituciones: Universidad Peruana de Ciencias Aplicadas