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Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
This article, featured in the December 2023 edition of the journal, Resources, Conservation and Recycling, focuses on a cost-efficient data-driven approach to evaluating comprehensive hazardous materials in existing buildings. Access an abstract of the article here.
Publication Date: 11 Dec 2023
Author: P. Wu, T. Johansson, M. Mangold, C. Sandels, K. Mjornell
Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
The article, featured in the July 2023 edition of the publication, Expert Systems with Applications, contributes to method development for pattern identification for hazardous building materials, i.e., blue concrete. Access the abstract here.
Publication Date: 15 Jul 2023
Author: P. Wu, T. Johansson, M. Mangold, C. Sandels, K. Mjornell
Technical Article - Fostering knowledge transfer and sharing of data about the European building stock: BuiltHub project
This article, featured on BUILD UP, the European portal for energy efficiency and renewable energy in buildings, focuses on the transfer of knowledge and potential of data sharing in regards to the European building stock. Access the article here.
Publication Date: 19 Apr 2023
Author: U. Oberegger, A. Alcaraz, A. Alcantara Solís, J. Martínez, S. Pezzutto, E. Doran
On climate change, numbers don’t lie
This article from the Wartsila website explores where climate data comes from and how it can be used most effectively in response to a changing climate. BuiltHub Project Coordinator, Ulrich Filippi Oberegger, is quoted in the article, explaining the impact and potential of data-driven projects like BuiltHub. Access the article here.
...Publication Date: 05 Jan 2022
Author: Stambler, M
ICLEI invites cities to join big data community for building energy efficiency
This article, featured on project partner ICLEI Europe's website, outlines how the BuiltHub project could support cities committed to developing a more sustainable building stock using big data. The article is accessible here.
Publication Date: 07 Dec 2021
Author: E. Doran
