Leveraging Machine Learning to Forecast Neighborhood Energy Use in Early Design Stages: A Preliminary Application

The need for energy efficiency in neighborhood-scale architectural design is driven by environmental imperatives and escalating energy costs. This study identifies three key phases in a design process framework where machine learning can be applied to optimize energy consumption in early design stag...

תיאור מלא

מידע ביבליוגרפי

Principais autores:	Andrea Giuseppe di Stefano, Matteo Ruta, Gabriele Masera, Simi Hoque
פורמט:	Artigo
שפה:	Inglês
יצא לאור:	MDPI AG 2024-11-01
סדרה:	Buildings
נושאים:	predictive analysis energy efficiency strategies data-driven neighborhood design design process framework urban building energy modeling
גישה מקוונת:	https://www.mdpi.com/2075-5309/14/12/3866
תגים:	הוספת תג אין תגיות, היה/י הראשונ/ה לתייג את הרשומה!