Predicting indoor air temperature and thermal comfort in occupational settings using weather forecasts, indoor sensors, and artificial neural networks

Autor:	Markus Sulzer, Andreas Christen, Andreas Matzarakis
Rok vydání:	2023
Předmět:	Environmental Engineering Geography Planning and Development Building and Construction Civil and Structural Engineering
Zdroj:	Building and Environment. 234:110077
ISSN:	0360-1323
DOI:	10.1016/j.buildenv.2023.110077
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::2a92557019713bebfe0b119aa5eb4ede https://doi.org/10.1016/j.buildenv.2023.110077 Zobrazit plný text záznamu Full Text from ScienceDirect