Abstract
Energy-saving offices require autonomous and optimised control of integrated devices and appliances with the objective of saving energy while the occupant comfort and productivity are preserved. We propose an approach that analyses and controls an office space and accounts for the objectives of energy-saving offices. The approach considers ontology-based occupant activity recognition using simple sensors to process the context information, and employs Artificial Intelligence planning to control appliances. The approach is evaluated in a semi-simulated setting. The activity recognition strategy is tested in an actual living lab and shows recognising accuracy of about 80%. The planning technique is able to cope efficiently under a simulated and increasing number of offices and recognised activities. The overall solution shows intriguing potential for energy saving in the order of 70%, given mostly sunny days and a provisional set of devices for experimentation.
| Original language | English |
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| Title of host publication | Proceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing and IEEE 10th International Conference on Autonomic and Trusted Computing |
| Place of Publication | Piscataway, NJ |
| Pages | 238-245 |
| Number of pages | 8 |
| ISBN (Electronic) | 9781479924820 |
| DOIs | |
| Publication status | Published - 2013 |
| Externally published | Yes |
| Event | 10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013 - Vietri sul Mare, Italy Duration: 18 Dec 2013 → 21 Dec 2013 |
Other
| Other | 10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013 |
|---|---|
| Country/Territory | Italy |
| City | Vietri sul Mare |
| Period | 18/12/13 → 21/12/13 |
Keywords
- Activity recognition
- AI planning
- Building offices
- Energy saving