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- 2023
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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
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
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
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
CIRLEM : a synergic integration of Collective Intelligence and Reinforcement Learning in Energy Management for enhanced climate resilience and lightweight computation
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- Contribution to journal › Article
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Mark
Toward Improved Urban Building Energy Modeling Using a Place-Based Approach
(
- Contribution to journal › Article
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Mark
Challenges resulting from urban density and climate change for the EU energy transition
(
- Contribution to journal › Article
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Mark
Examination of Water Damage Statistics in the Nordic Countries to Identify and Suggest Preventive Cost-effective and Sustainable Measures during the Maintenance and Operation Phase
2023) ASHRAE and SCANVAC HVAC Cold Climate Conference 2023(
- Contribution to conference › Paper, not in proceeding
-
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