Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Sofía Mulero-Palencia"'
Autor:
Gema Hernández-Moral, Sofía Mulero-Palencia, Víctor Iván Serna-González, Carla Rodríguez-Alonso, Roberto Sanz-Jimeno, Vangelis Marinakis, Nikos Dimitropoulos, Zoi Mylona, Daniele Antonucci, Haris Doukas
Publikováno v:
Energies, Vol 14, Iss 15, p 4624 (2021)
Current climate change threats and increasing CO2 emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decar
Externí odkaz:
https://doaj.org/article/7b6e1d749a25494c93dbe6009a348d75
Autor:
Daniele Antonucci, Carla Rodríguez-Alonso, Gema Hernández-Moral, Victor Ivan Serna-González, Vangelis Marinakis, Zoi Mylona, Roberto Sanz-Jimeno, Sofía Mulero-Palencia, Nikos Dimitropoulos, Haris Doukas
Publikováno v:
Energies, Vol 14, Iss 4624, p 4624 (2021)
Current climate change threats and increasing CO2emissions, especially from the building stock, represent a context where action is required. It is necessary to provide efficient manners to manage energy demand in buildings and contribute to a decarb
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b72c2c383eda00d10bd02cd70820f328
https://zenodo.org/record/5614136
https://zenodo.org/record/5614136
Publikováno v:
Sustainability
Sustainability, Vol 13, Iss 6576, p 6576 (2021)
Volume 13
Issue 12
Sustainability, Vol 13, Iss 6576, p 6576 (2021)
Volume 13
Issue 12
In recent years, new technologies, such as Artificial Intelligence, are emerging to improve decision making based on learning. Their use applied to the Architectural, Engineering and Construction (AEC) sector, together with the increased use of Build