[HTML][HTML] A review of advanced ground source heat pump control: Artificial intelligence for autonomous and adaptive control

S Noye, RM Martinez, L Carnieletto, M De Carli… - … and Sustainable Energy …, 2022 - Elsevier
Geothermal energy has the potential to contribute significantly to the CO 2 reduction targets
as a renewable source for building heating and cooling but is yet under exploited, mostly …

Metadata schemas and ontologies for building energy applications: A critical review and use case analysis

M Pritoni, D Paine, G Fierro, C Mosiman, M Poplawski… - Energies, 2021 - mdpi.com
Digital and intelligent buildings are critical to realizing efficient building energy operations
and a smart grid. With the increasing digitalization of processes throughout the life cycle of …

Urban energy efficiency assessment models from an AI and big data perspective: Tools for policy makers

L Anthopoulos, V Kazantzi - Sustainable Cities and Society, 2022 - Elsevier
Although energy efficiency is quite a cliché term, it is a topic that attracts an increasing
attention the last decade, especially in the context of cities and as a means to address …

Semantic model-based large-scale deployment of AI-driven building management applications

K Xu, Z Chen, F **ao, J Zhang, H Zhang, T Ma - Automation in Construction, 2024 - Elsevier
Abstract Digitalization and Artificial Intelligent (AI) are revolutionizing building operation
management. The abundance of data generated with the digitalization of buildings in the …

Optimal design, operational controls, and data-driven machine learning in sustainable borehole heat exchanger coupled heat pumps: Key implementation challenges …

N Ahmed, M Assadi, AA Ahmed, R Banihabib - Energy for Sustainable …, 2023 - Elsevier
The integration of technologies has made it possible to develop optimal operating conditions
at reduced costs, which results in a more sustainable energy transition away from fossil fuels …

B-SMART: A reference architecture for artificially intelligent autonomic smart buildings

M Genkin, JJ McArthur - Engineering Applications of Artificial Intelligence, 2023 - Elsevier
The pervasive application of artificial intelligence and machine learning algorithms is
transforming many industries and aspects of the human experience. One very important …

Integrated representation of technical systems with BIM and linked data: TUBES system ontology

N Pauen, J Frisch, C van Treeck - Automation in Construction, 2024 - Elsevier
Technical systems in the Architecture, Engineering, Construction, and Operations (AECO)
industry are complex interconnected structures. To cope with this high complexity, large …

[HTML][HTML] Ontology for experimentation of human-building interactions using virtual reality

C Chokwitthaya, Y Zhu, W Lu - Advanced Engineering Informatics, 2023 - Elsevier
Scientific experiments significantly enhance the understanding of human-building
interactions in building and engineering research. Recently, conducting virtual reality (VR) …

Development of an ontology for construction carbon emission tracking and evaluation

Y Lu, G Song, P Li, N Wang - Journal of Cleaner Production, 2024 - Elsevier
Significant carbon emissions from construction sites necessitate improved management
through integrating diverse data sources. Ontologies are widely employed for data …

An explanatory parametric model to predict comprehensive post-commissioning building performances

P Li, Y Lu, Y Qian, Y Wang, W Liang - Building and Environment, 2022 - Elsevier
Existing building commissioning (EBCx) is a promising approach to save energy and
improve indoor environmental quality (IEQ) without sufficient attention yet. However, the …