Metamodeling of the Energy Consumption of Buildings with Daylight Harvesting – Application of Artificial Neural Networks Sensitive to Orientation

Daylight harvesting is a well-known strategy to address building energy efficiency. However, few simplified tools can evaluate its dual impact on lighting and air conditioning energy consumption. Artificial neural networks (ANNs) have been used as metamodels to predict energy consumption with high p...

Descripción completa

Guardado en:

Detalles Bibliográficos
Autores principales:	Raphaela Walger da Fonseca, Fernando Oscar Ruttkay Pereira
Formato:	article
Lenguaje:	EN
Publicado:	SolarLits 2021
Materias:	daylight harvesting energy consumption metamodels artificial neural networks Details in building design and construction. Including walls, roofs TH2025-3000
Acceso en línea:	https://doaj.org/article/e5cfcd2176074507b5b5a1fa17a7e9fb
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Sea el primero en dejar un comentario!

Metamodeling of the Energy Consumption of Buildings with Daylight Harvesting – Application of Artificial Neural Networks Sensitive to Orientation

Ejemplares similares