Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/28408
Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | Kolokotroni, M | - |
dc.contributor.author | Zune, M | - |
dc.coverage.spatial | Helsinki, Finland | - |
dc.date.accessioned | 2024-02-26T08:56:58Z | - |
dc.date.available | 2024-02-26T08:56:58Z | - |
dc.date.issued | 2023-08-14 | - |
dc.identifier | ORCiD: Maria Kolokotroni https://orcid.org/0000-0003-4478-1868 | - |
dc.identifier.citation | Kolokotroni, M. and Zune, M. (2023) 'Indoor environment prediction using climate correlation models', Proceedings of the 11th International Conference on Sustainable Development in the Building and Environment, Espoo, Finland, 14-18 August, pp. 1 - 2. | en_US |
dc.identifier.uri | https://bura.brunel.ac.uk/handle/2438/28408 | - |
dc.description.abstract | PRELUDE is a H2020 project which aims to facilitate the transition to clean energy by combining innovative, smart, low-cost solutions into a proactive optimization service. | en_US |
dc.description.sponsorship | European Union’s Horizon 2020 research and innovation programme under Grant Agreement N° 958345 for the PRELUDE project (https://prelude-project.eu). | en_US |
dc.format.extent | 1 - 2 | - |
dc.language.iso | en | en_US |
dc.publisher | Chongqing University | en_US |
dc.source | 11th International Conference on Sustainable Development in the Building and Environment Conference (SuDBE2023) | - |
dc.source | 11th International Conference on Sustainable Development in the Building and Environment Conference (SuDBE2023) | - |
dc.title | Indoor environment prediction using climate correlation models | en_US |
dc.type | Conference Paper | en_US |
pubs.finish-date | 2023-08-18 | - |
pubs.finish-date | 2023-08-18 | - |
pubs.publication-status | Published | - |
pubs.start-date | 2023-08-14 | - |
pubs.start-date | 2023-08-14 | - |
Appears in Collections: | Dept of Mechanical and Aerospace Engineering Research Papers |
Files in This Item:
File | Description | Size | Format | |
---|---|---|---|---|
Abstract.pdf | 636.28 kB | Adobe PDF | View/Open |
Items in BURA are protected by copyright, with all rights reserved, unless otherwise indicated.