Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble

Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble

The employment of smart meters for energy consumption monitoring is essential for planning and management of power generation systems. In this context, forecasting energy consumption is a valuable asset for decision making, since it can improve the predictability of forthcoming demand to energy prov...

Full description

Bibliographic Details
Main Authors: Paulo S. G. de Mattos Neto, João F. L. de Oliveira, Priscilla Bassetto, Hugo Valadares Siqueira, Luciano Barbosa, Emilly Pereira Alves, Manoel H. N. Marinho, Guilherme Ferretti Rissi, Fu Li
Format: Article
Language:English
Published: MDPI AG 2021-12-01
Series:Sensors
Subjects:
energy consumption
smart metering
forecasting
Box and Jenkins models
neural networks
ensembles
Online Access:https://www.mdpi.com/1424-8220/21/23/8096

Internet

https://www.mdpi.com/1424-8220/21/23/8096

Similar Items