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Data Reasoning in the Evaluation of Domestic Thermal Energy Use

Lookup NU author(s): Chris Fishlock, Dr Keerthi Rajendran, Dr Mohammad Royapoor, Professor Tony Roskilly

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (CC BY-NC 4.0).


Abstract

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.


Publication metadata

Author(s): Fishlock C, Rajendran K, Royapoor M, Roskilly AP

Publication type: Conference Proceedings (inc. Abstract)

Publication status: Published

Conference Name: Building Simulation & Optimisation 2016

Year of Conference: 2016

Print publication date: 12/09/2016

Acceptance date: 04/05/2016

URL: http://www.bso16.org/


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