Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting

Genetic fuzzy rule-based system using MOGUL learning methodology for energy consumption forecasting

This paper presents the application of a Methodology to Obtain Genetic fuzzy rule-based systems Under the iterative rule Learning approach (MOGUL) to forecast energy consumption. Historical data referring to the energy consumption gathered from three groups, namely lights, HVAC and electrical socket...

Full description

Bibliographic Details
Main Authors: Aria JOZI, Tiago PINTO, Isabel PRAÇA, Francisco SILVA, Brigida TEIXEIRA, Zita VALE
Format: Article
Language:English
Published: Ediciones Universidad de Salamanca 2019-12-01
Series:Advances in Distributed Computing and Artificial Intelligence Journal
Subjects:
electricity consumption
forecasting
fuzzy rule based methods
mogul
Online Access:https://revistas.usal.es/index.php/2255-2863/article/view/19304

Internet

https://revistas.usal.es/index.php/2255-2863/article/view/19304

Similar Items