research unit 1

This site is powered by Aigaion - A PHP/Web based management system for shared and annotated bibliographies. For more information visit


Type of publication:Inproceedings
Entered by:mylonas
TitleA Resource-based Rule Engine for energy savings recommendations in Educational Buildings
Bibtex cite IDRACTI-RU1-2017-22
Booktitle Global Internet of Things Summit 2017
Year published 2017
Month June
Pages 385-390
Publisher IEEE
Organization IEEE
Location Geneva
Raising awareness among young people on the relevance of behaviour change for achieving energy savings is widely considered as a key approach towards long-term and costeffective energy efficiency policies. The GAIA Project aims to deliver a comprehensive solution for both increasing awareness on energy efficiency and achieving energy savings in school buildings. In this framework, we present a novel rule engine that, leveraging a resource-based graph model encoding relevant application domain knowledge, accesses IoT data for producing energy savings recommendations. The engine supports configurability, extensibility and ease-of-use requirements, to be easily applied and customized to different buildings. The paper introduces the main design and implementation details and presents a set of preliminary performance results.
Cuffaro, Giovanni
Paganelli, Federica
Mylonas, Georgios
Publication ID1177