Energy performance estimation for large building portfolios with machine learning-based techniques

Building operation is responsible for 28% of the world’s carbon emissions. In this context, establishing priorities in refurbishment strategies at the scale of a city or a group of buildings is important. Such procedures are usually led by experts in energy performance and, therefore, they are rarel...

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Библиографические подробности

Главные авторы:	Frédéric Montet, Alessandro Pongelli, Jonathan Rial, Stefanie Schwab, Jean Hennebert, Thomas Jusselme
Формат:	Artigo
Язык:	Inglês
Опубликовано:	Czech Technical University in Prague 2022-12-01
Серии:	Acta Polytechnica CTU Proceedings
Предметы:	refurbishment strategies machine learning energy performance certificates
Online-ссылка:	https://ojs.cvut.cz/ojs/index.php/APP/article/view/8429
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