Mikael Mangold 
- (2023): Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning. Dans: Journal of Physics: Conference Series, v. 2654, n. 1 (1 décembre 2023).
- (2023): Indoor radon interval prediction in the Swedish building stock using machine learning. Dans: Building and Environment, v. 245 (novembre 2023).
- (2022): Predicting the presence of hazardous materials in buildings using machine learning. Dans: Building and Environment, v. 213 (avril 2022).
- (2015): Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock. Dans: Energy and Buildings, v. 102 (septembre 2015).
- (2016): A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model. Dans: Energy and Buildings, v. 120 (mai 2016).
- (2016): Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock. Dans: Energy and Buildings, v. 123 (juillet 2016).
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