Abstract
Maintaining comfortable thermal conditions in an office environment is very important, as it can affect the quality of life of the occupants, their work productivity, and improve energy efficiency. One significant aspect of this task is how to balance the preferences of a number of occupants sharing the same space. We suggest three families of approaches to this problem, both for the case of optimising for a single time period, and for the problem of optimising over multiple different time periods. We analyse in detail the different approaches based on a number of natural properties, proving which of the properties the different families satisfy.
| Original language | English |
|---|---|
| Title of host publication | Proceedings - 2015 IEEE 27th International Conference on Tools with Artificial Intelligence, ICTAI 2015 |
| Publisher | IEEE Computer Society |
| Pages | 558-565 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781509001637 |
| DOIs | |
| Publication status | Published - 4 Jan 2016 |
| Event | 27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015 - Vietri sul Mare, Salerno, Italy Duration: 9 Nov 2015 → 11 Nov 2015 |
Publication series
| Name | Proceedings - International Conference on Tools with Artificial Intelligence, ICTAI |
|---|---|
| Volume | 2016-January |
| ISSN (Print) | 1082-3409 |
Conference
| Conference | 27th IEEE International Conference on Tools with Artificial Intelligence, ICTAI 2015 |
|---|---|
| Country/Territory | Italy |
| City | Vietri sul Mare, Salerno |
| Period | 9/11/15 → 11/11/15 |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 7 Affordable and Clean Energy
Keywords
- Aggregation Functions
- Building Control
- Preference Aggregation
- Preferences
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