An Application of Machine Learning to Estimate and Evaluate the Energy Consumption in an Office Room

There are no exact criteria for the architecture of openings and windows in office buildings in order to optimize energy consumption. Due to the physical limitations of this renewable energy source and the lack of conscious control over its capabilities, the amount of light entering offices and the...

Full description

Autores:
Kuang-Sheng, lu
Iskandar Muda
Ming-Hung, Lin
Ngakan Ketut Acwin Dwijendra
carrillo caraballo, Gaylord
Alviz-Meza, Anibal
cardenas escrocia, yulineth
Tipo de recurso:
Fecha de publicación:
2023
Institución:
Universidad Tecnológica de Bolívar
Repositorio:
Repositorio Institucional UTB
Idioma:
eng
OAI Identifier:
oai:repositorio.utb.edu.co:20.500.12585/12423
Acceso en línea:
https://hdl.handle.net/20.500.12585/12423
https://doi.org/10.3390/su15021728
Palabra clave:
gene expression programming
gravitational search algorithm
office room’s window
machine learning
daylight
optimization
Rights
openAccess
License
http://creativecommons.org/licenses/by-nc-nd/4.0/