Prediction of Electricity Consumption Profiles Using Potential Polynomials of Degree One and Artificial Neural Networks in Smart Metering Infrastructure

Prediction of Electricity Consumption Profiles Using Potential Polynomials of Degree One and Artificial Neural Networks in Smart Metering Infrastructure

This work analyzes methods and algorithms for predicting the behavior of electricity consumption based on neural networks using data obtained from the Advanced Measurement Infrastructure (AMI) of an educational institution. Also, a contrast between the use of conventional neural networks (ANN), wave...

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Bibliografiske detaljer
Main Authors:	Urgilés, Pablo, Inga-Ortega, Juan, Peralta, Arturo, Ortega, Andrés
Format:	Online
Sprog:	eng
Udgivet:	Universidad Pedagógica y Tecnológica de Colombia 2021
Fag:	AMI medición inteligente P1P predicción de consumo eléctrico WNN electricity consumption prediction smart metering
Online adgang:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12772

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