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- 2023
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Mark
Swedish public and private housing companies’ access to the capital market for financing energy renovation
(
- Contribution to journal › Article
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Mark
Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks
2023) In Expert Systems with Applications(
- Contribution to journal › Article
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Mark
Evaluating the Indoor Radon Concentrations in the Swedish Building Stock Using Statistical and Machine Learning
(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Indoor radon interval prediction in the Swedish building stock using machine learning
(
- Contribution to journal › Article
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Mark
Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
(
- Contribution to journal › Article
- 2022
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Mark
Predicting the presence of hazardous materials in buildings using machine learning
(
- Contribution to journal › Article
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Mark
Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings
2022)(
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants? A Pilot Study from Sweden
(
- Contribution to journal › Article
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Mark
Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden
(
- Contribution to journal › Article
- 2021
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Mark
Determining the Impact of High Residential Density on Indoor Environment, Energy Use, and Moisture Loads in Swedish Apartments-and Measures for Mitigation
(
- Contribution to journal › Article