Combining activity recognition and AI planning for energy-saving offices

Ilche Georgievski, Tuan Anh Nguyen, Marco Aiello

Research output: Chapter in Book/Report/Conference proceedingConference proceeding contribution

14 Citations (Scopus)

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 languageEnglish
Title of host publicationProceedings - IEEE 10th International Conference on Ubiquitous Intelligence and Computing and IEEE 10th International Conference on Autonomic and Trusted Computing
Place of PublicationPiscataway, NJ
Pages238-245
Number of pages8
ISBN (Electronic)9781479924820
DOIs
Publication statusPublished - 2013
Externally publishedYes
Event10th 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 201321 Dec 2013

Other

Other10th IEEE International Conference on Ubiquitous Intelligence and Computing, UIC 2013 and 10th IEEE International Conference on Autonomic and Trusted Computing, ATC 2013
CountryItaly
CityVietri sul Mare
Period18/12/1321/12/13

Keywords

  • Activity recognition
  • AI planning
  • Building offices
  • Energy saving

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