Brunel University Research Archive(BURA) preserves and enables easy and open access to all
types of digital content. It showcases Brunel's research outputs.
Research contained within BURA is open access, although some publications may be subject
to publisher imposed embargoes. All awarded PhD theses are also archived on BURA.
Please use this identifier to cite or link to this item:
http://bura.brunel.ac.uk/handle/2438/28408Full 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.