A systematic comparison and evaluation of building ontologies for deploying data-driven analytics in smart buildings

Author:

Qiang Zhangcheng,Hands Stuart,Taylor Kerry,Sethuvenkatraman Subbu,Hugo Daniel,Ghiasnezhad Omran Pouya,Perera Madhawa,Haller Armin

Funder

University of Colorado Boulder

Commonwealth Scientific and Industrial Research Organisation

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Mechanical Engineering,Building and Construction,Civil and Structural Engineering

Reference82 articles.

1. MarketsandMarkets, Global Smart Buildings Market by Component (Solution (Safety and Security Management, Building Infrastructure Management, Network Management, and IWMS) and Services), Building Type (Residential, Commercial, and Industrial), and Region – Forecast to 2026,https://www.researchandmarkets.com/reports/5235835/global-smart-buildings-market-by-component, accessed date: 1 March 2023 (2022).

2. Metadata Schemas and Ontologies for Building Energy Applications: A Critical Review and Use Case Analysis;Pritoni;Energies,2021

3. IoT enabled smart buildings: A systematic review;Bashir;Intelligent Systems Conference (IntelliSys),2017

4. C. Miller, F. Meggers, The Building Data Genome Project: An open, public data set from non-residential building electrical meters, Energy Procedia 122 (2017) 439–444, CISBAT 2017 International Conference: Future Buildings & Districts – Energy Efficiency from Nano to Urban Scale. https://doi.org/10.1016/j.egypro.2017.07.400.

5. S. Clarke, R. D’Arjuzon, Global Corporate Survey 2019: Smart Building Fitout Premiums,https://www.verdantix.com/report/global-corporate-survey-2019-smart-building-fitout-premiums, accessed date: 1 March 2023 (2020).

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