Mikael Mangold 
- (2023): Indoor radon interval prediction in the Swedish building stock using machine learning. In: Building and Environment, v. 245 (November 2023).
- (2022): Predicting the presence of hazardous materials in buildings using machine learning. In: Building and Environment, v. 213 (April 2022).
- (2015): Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock. In: Energy and Buildings, v. 102 (September 2015).
- (2016): A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model. In: Energy and Buildings, v. 120 (May 2016).
- (2016): Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock. In: Energy and Buildings, v. 123 (July 2016).
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