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- 2023
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Mark
Modelling an air handling unit, building and occupant variation regarding energy, moisture and frost protection based on measurements of an air handling unit and occupants’ moisture supply
- 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
CIRLEM : a synergic integration of Collective Intelligence and Reinforcement Learning in Energy Management for enhanced climate resilience and lightweight computation
- Contribution to journal › Article
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Mark
How to develop fifth-generation district heating and cooling in Sweden? Application review and best practices proposed by middle agents
- Contribution to journal › Article
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Mark
Evidence of Unrecognized Indoor Exposure to Toxic Chlorophenols and Odorous Chloroanisoles in Denmark, Finland, and Norway
- Contribution to journal › Article
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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
Collective Intelligence for Energy Flexibility - Collectief : An EU H2020 Project for Enhancing Energy Efficiency and Flexibility in Existing Buildings
(2023) 2023 International Conference on Future Energy Solutions, FES 2023 In 2023 International Conference on Future Energy Solutions, FES 2023
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Towards Resilient Interconnected Urban Infrastructures : The Nexus Between Energy System, Urban Morphology, and Transportation Network
(2023) 5th International Conference on Building Energy and Environment, COBEE 2022 In Environmental Science and Engineering p.2739-2749
- Chapter in Book/Report/Conference proceeding › Paper in conference proceeding
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Mark
Machine learning models for the prediction of polychlorinated biphenyls and asbestos materials in buildings
- 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
