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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Detalles Bibliográficos

Autores principales:	Urgilés, Pablo, Inga-Ortega, Juan, Peralta, Arturo, Ortega, Andrés
Formato:	Online
Lenguaje:	eng
Publicado:	Universidad Pedagógica y Tecnológica de Colombia 2021
Materias:	AMI medición inteligente P1P predicción de consumo eléctrico WNN electricity consumption prediction smart metering
Acceso en línea:	https://revistas.uptc.edu.co/index.php/ingenieria/article/view/12772