Data Reasoning in the Evaluation of Domestic Thermal Energy Use

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  2. Chris Fishlock
  3. Dr Keerthi Rajendran
  4. Dr Mohammad Royapoor
  5. Professor Tony Roskilly
Author(s)Fishlock C, Rajendran K, Royapoor M, Roskilly AP
Publication type Conference Proceedings (inc. Abstract)
Conference NameBuilding Simulation & Optimisation 2016
Conference LocationNewcastle upon Tyne
Year of Conference2016
Source Publication Date
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The decreasing cost of sensing equipment and developments in the field of data science are providing increased opportunities for the validation and enhancement of existing knowledge and solutions across many fields. With the primary aim of supporting the optimisation of domestic thermal energy use, this paper documents the early stages of the application of a data centric approach to extend the understanding of energy use at an individual property level. To facilitate this, a Semantic Web platform is designed, providing the foundation on which factors influencing thermal energy use are inferred using data reasoning techniques.