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:

Liu, Kuang-Sheng
Muda, Iskandar
Lin, Ming-Hung
Dwijendra, Ngakan Ketut Acwin
Carrillo Caballero, Gaylord Enrique
Alviz Meza, Anibal
Cardenas Escorcia, Yulineth

Tipo de recurso:

Article of investigation

Fecha de publicación:

2023

Institución:

Corporación Universidad de la Costa

Repositorio:

REDICUC - Repositorio CUC

Idioma:

eng

OAI Identifier:

oai:repositorio.cuc.edu.co:11323/10395

Acceso en línea:

https://hdl.handle.net/11323/10395
https://repositorio.cuc.edu.co/

Palabra clave:

Gene expression programming
Gravitational search algorithm
Office room’s window
Machine learning
Daylight
Optimization

Rights

openAccess

License

Atribución 4.0 Internacional (CC BY 4.0)