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Renovating on Unequal Premises: A Normative Framework for a Just Renovation Wave in Swedish Multifamily Housing

Energies (Basel), 2021, Vol.14 (19), p.6054

2021

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Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits

Energies (Basel), 2020-05, Vol.13 (10), p.2574

2020

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Prevalence of microbiological contaminants in groundwater sources and risk factor assessment in Juba, South Sudan

The Science of the total environment, 2015-05, Vol.515-516, p.181-187

2015

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Development of an energy atlas for renovation of the multifamily building stock in Sweden

Applied energy, 2017, Vol.203, p.723-736

2017

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Swedish public and private housing companies’ access to the capital market for financing energy renovation

Journal of housing and the built environment, 2023-06, Vol.38 (2), p.673-697

2023

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Examining property and neighborhood effects on perceived safety in urban environments: Proximity to square and heights of buildings

Cities, 2024-07, Vol.150, p.105069, Article 105069

2024

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The renewing of Energy Performance Certificates—Reaching comparability between decade-apart energy records

Applied energy, 2019-12, Vol.255, p.113902, Article 113902

2019

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Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks

Expert systems with applications, 2023-07, Vol.222, p.119812, Article 119812

2023

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Indoor radon interval prediction in the Swedish building stock using machine learning

Building and environment, 2023-11, Vol.245, p.110879, Article 110879

2023

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Predicting the presence of hazardous materials in buildings using machine learning

Building and environment, 2022-04, Vol.213, p.108894, Article 108894

2022

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Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock

Energy and buildings, 2015-09, Vol.102, p.328-336

2015

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Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings

Resources, conservation and recycling, 2023-12, Vol.199, p.107253, Article 107253

2023

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A matter of metrics? How analysing per capita energy use changes the face of energy efficient housing in Sweden and reveals injustices in the energy transition

Energy research & social science, 2020-12, Vol.70, p.101807, Article 101807

2020

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A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model

Energy and buildings, 2016-05, Vol.120, p.78-84

2016

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Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning

Journal of physics. Conference series, 2023-12, Vol.2654 (1), p.12086

2023

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Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden

Energy research & social science, 2022-10, Vol.92, p.102791, Article 102791

2022

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Increased rent misspent? How ownership matters for renovation and rent increases in rental housing in Sweden

International journal of housing policy, 2023, p.1-23

2023

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Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock

Energy and buildings, 2016-07, Vol.123, p.41-49

2016

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The effect of weighting factors on income-related energy inequalities: The case of Sweden’s new building code

IBPC 2021,Copenhagen, Denmark,2021-08-25 - 2021-08-27, 2021, Vol.2069 (1), p.12102

2021

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OMTANKE SOM UTGÅNGSPUNKT VID AKDEMISK HANDLEDNING

Journal of Teaching and Learning in Higher Education, 2023, Vol.4 (2)

Mangold, Mikael

2023

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A Data-Driven Approach to Assess the Risk of Encountering Hazardous Materials in the Building Stock Based on Environmental Inventories

Sustainability, 2021, Vol.13 (14), p.7836

2021

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Tracing Hazardous Materials in Registered Records: A Case Study of Demolished and Renovated Buildings in Gothenburg

Journal of physics. Conference series, 2021, Vol.2069 (1), p.12234

2021

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Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg

Sustainability, 2018, Vol.10 (5), p.1684

2018

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Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings

IOP conference series. Earth and environmental science, 2022-12, Vol.1122 (1), p.12050

2022

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Energy inequality as a risk in socio-technical energy transitions: The Swedish case of individual metering and billing of energy for heating

BEYOND 2020,2020-11-02 - 2020-11-04, 2020, Vol.588 (3), p.32015

2020

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Renovating on Unequal Premises: A Normative Framework for a Just Renovation Wave in Swedish Multifamily Housing

Using Machine Learning to Enrich Building Databases—Methods for Tailored Energy Retrofits

Prevalence of microbiological contaminants in groundwater sources and risk factor assessment in Juba, South Sudan

Development of an energy atlas for renovation of the multifamily building stock in Sweden

Swedish public and private housing companies’ access to the capital market for financing energy renovation

Examining property and neighborhood effects on perceived safety in urban environments: Proximity to square and heights of buildings

The renewing of Energy Performance Certificates—Reaching comparability between decade-apart energy records

Estimating the probability distributions of radioactive concrete in the building stock using Bayesian networks

Indoor radon interval prediction in the Swedish building stock using machine learning

Predicting the presence of hazardous materials in buildings using machine learning

Handling data uncertainties when using Swedish energy performance certificate data to describe energy usage in the building stock

Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings

A matter of metrics? How analysing per capita energy use changes the face of energy efficient housing in Sweden and reveals injustices in the energy transition

A differentiated description of building-stocks for a georeferenced urban bottom-up building-stock model

Evaluating the indoor radon concentrations in the Swedish building stock using statistical and machine learning

Energy efficiency at what cost? Unjust burden-sharing of rent increases in extensive energy retrofitting projects in Sweden

Increased rent misspent? How ownership matters for renovation and rent increases in rental housing in Sweden

Socio-economic impact of renovation and energy retrofitting of the Gothenburg building stock

The effect of weighting factors on income-related energy inequalities: The case of Sweden’s new building code

OMTANKE SOM UTGÅNGSPUNKT VID AKDEMISK HANDLEDNING

A Data-Driven Approach to Assess the Risk of Encountering Hazardous Materials in the Building Stock Based on Environmental Inventories

Tracing Hazardous Materials in Registered Records: A Case Study of Demolished and Renovated Buildings in Gothenburg

Building Ownership, Renovation Investments, and Energy Performance—A Study of Multi-Family Dwellings in Gothenburg

Modeling Artificial Neural Networks to Predict Asbestos-containing Materials in Residential Buildings

Energy inequality as a risk in socio-technical energy transitions: The Swedish case of individual metering and billing of energy for heating

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