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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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Rethinking deep renovation: The perspective of rental housing in Sweden

Journal of cleaner production, 2018-09, Vol.195, p.1457-1467

2018

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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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Renovation Strategies for Multi-Residential Buildings from the Record Years in Sweden—Profit-Driven or Socioeconomically Responsible?

Sustainability, 2019, Vol.11 (24), p.6988

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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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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The Effect of High Occupancy Density on IAQ, Moisture Conditions and Energy Use in Apartments

Energies (Basel), 2019-11, Vol.12 (23), p.4454

2019

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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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Approach to manage parameter and choice uncertainty in life cycle optimisation of building design: Case study of optimal insulation thickness

Building and environment, 2021-03, Vol.191, p.107544, Article 107544

2021

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Development of laboratory experiments to determine critical moisture condition of CLT constructions

Journal of physics. Conference series, 2023-12, Vol.2654 (1), p.12022

2023

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Life Cycle Assessment of an Office Building Based on Site-Specific Data

Energies (Basel), 2019, Vol.12 (13), p.2588

2019

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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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SIRen: An Applied Framework for a Sustainable Renovation Process

Sustainability, 2021-05, Vol.13 (10), p.5412

2021

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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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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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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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Application of a Decision Support Tool in Three Renovation Projects

Sustainability, 2015, Vol.7 (9), p.12521-12538

2015

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Measures and Steps for More Efficient Use of Buildings

Sustainability, 2018, Vol.10 (6), p.1949

2018

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Energy use patterns and renovations of Swedish second homes

13th Nordic Symposium on Building Physics, NSB 2023, Aalborg, Denmark, 2023, Vol.2654 (1), p.12011

2023

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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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The influence of secondary effects on global warming and cost optimization of insulation in the building envelope

Building and environment, 2017-06, Vol.118, p.174-183

2017

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Unveiling the Process of Sustainable Renovation

Sustainability, 2012, Vol.4 (6), p.1188-1213

2012

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Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants? A Pilot Study from Sweden

Sustainability, 2022, Vol.14 (7), p.3785

2022

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Managing Choice Uncertainties in Life-Cycle Assessment as a Decision-Support Tool for Building Design: A Case Study on Building Framework

Sustainability, 2020-06, Vol.12 (12), p.5130

2020

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

Rethinking deep renovation: The perspective of rental housing in Sweden

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

Renovation Strategies for Multi-Residential Buildings from the Record Years in Sweden—Profit-Driven or Socioeconomically Responsible?

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

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

The Effect of High Occupancy Density on IAQ, Moisture Conditions and Energy Use in Apartments

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

Predicting the presence of hazardous materials in buildings using machine learning

Approach to manage parameter and choice uncertainty in life cycle optimisation of building design: Case study of optimal insulation thickness

Development of laboratory experiments to determine critical moisture condition of CLT constructions

Life Cycle Assessment of an Office Building Based on Site-Specific Data

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

SIRen: An Applied Framework for a Sustainable Renovation Process

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

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

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

Application of a Decision Support Tool in Three Renovation Projects

Measures and Steps for More Efficient Use of Buildings

Energy use patterns and renovations of Swedish second homes

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

The influence of secondary effects on global warming and cost optimization of insulation in the building envelope

Unveiling the Process of Sustainable Renovation

Balancing Social and Economic Sustainability in Renovation with an Affordable Option for Tenants? A Pilot Study from Sweden

Managing Choice Uncertainties in Life-Cycle Assessment as a Decision-Support Tool for Building Design: A Case Study on Building Framework

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