Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models

Climatization and luminosity optimization of buildings using genetic algorithm, random forest, and regression models

Abstract With the rise in popularity of artificial intelligence, coupled with the growing concern over the environment, there has been a surge in the use of intelligent energy management systems. Additionally, as more buildings transition into the smart grid and, consequently, more energy and enviro...

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Bibliographic Details
Main Authors: Bruno Mota, Miguel Albergaria, Helder Pereira, José Silva, Luis Gomes, Zita Vale, Carlos Ramos
Format: Article
Language:English
Published: SpringerOpen 2021-09-01
Series:Energy Informatics
Subjects:
Building energy management systems
Genetic algorithm
Polynomial regression
Random Forest
Air quality
Online Access:https://doi.org/10.1186/s42162-021-00151-x

Internet

https://doi.org/10.1186/s42162-021-00151-x

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