Weizhuo Lu 
- (2023): Data-driven modelling of building retrofitting with incomplete physics: A generative design and machine learning approach. Dans: Journal of Physics: Conference Series, v. 2654, n. 1 (1 décembre 2023).
- (2023): A data-driven framework for building energy benchmarking and renovation decision-making support in Sweden. Dans: IOP Conference Series: Earth and Environmental Science, v. 1196, n. 1 (1 juin 2023).
- (2024): Transfer of building retrofitting evaluations for data-scarce conditions: An empirical study for Sweden to China. Dans: Energy and Buildings, v. 310 (mai 2024).
- (2024): Stochastic interpretable machine learning based multiscale modeling in thermal conductivity of Polymeric Graphene-enhanced composites. Dans: Composite Structures, v. 327 (janvier 2024).
- (2023): An improved attention-based deep learning approach for robust cooling load prediction: public building cases under diverse occupancy schedules. Dans: Sustainable Cities and Society, v. 96 (septembre 2023).
- (2023): A hybrid ensemble learning framework for zero-energy potential prediction of photovoltaic direct-driven air conditioners. Dans: Journal of Building Engineering, v. 64 (avril 2023).
- (2022): Energy-Efficient Retrofitting under Incomplete Information: A Data-Driven Approach and Empirical Study of Sweden. Dans: Buildings, v. 12, n. 8 (31 juillet 2022).
- (2022): Planning Construction Projects in Deep Uncertainty: A Data-Driven Uncertainty Analysis Approach. Dans: Journal of Construction Engineering and Management, v. 148, n. 8 (août 2022).
- (2021): Embedding ensemble learning into simulation-based optimisation: a learning-based optimisation approach for construction planning. Dans: Engineering, Construction and Architectural Management, v. 30, n. 1 (août 2021).
- (2019): Assessing environmental performance in early building design stage: An integrated parametric design and machine learning method. Dans: Sustainable Cities and Society, v. 50 (octobre 2019).
- (2016): An integrated BIM-based framework for minimizing embodied energy during building design. Dans: Energy and Buildings, v. 128 (septembre 2016).
- (2020): A Model to Reduce Earthmoving Impacts. Dans: Journal of Civil Engineering and Management, v. 26, n. 6 (8 juin 2020).
- (2018): Thermal comfort in primary school classrooms: A case study under subarctic climate area of Sweden. Dans: Building and Environment, v. 135 (mai 2018).
- (2016): Government Motivation-embedded Return Guarantee for Urban Infrastructure Projects Based on Real Options. Dans: Journal of Civil Engineering and Management, v. 22, n. 7 (juillet 2016).
- (2015): Assessing Embodied Energy and Greenhouse Gas Emissions in Infrastructure Projects. Dans: Buildings, v. 5, n. 4 (octobre 2015).
- (2014): An indicator for superfluous iteration in offsite building design processes. Dans: Architectural Engineering and Design Management, v. 11, n. 5 (août 2014).
- (2014): Building information modeling and discrete event simulation: Towards an integrated framework. Dans: Automation in Construction, v. 44 (août 2014).
- (2016): Discrete Event Simulation Analysis of Product and Process Platforms: A Bridge Construction Case Study. Dans: Journal of Construction Engineering and Management, v. 142, n. 4 (avril 2016).
- (2011): A lean‐agile model of homebuilders' production systems. Dans: Construction Management and Economics, v. 29, n. 1 (janvier 2011).
- (2016): A Cradle-to-Gate Framework for Optimizing Material Production in Road Construction. Présenté pendant: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016.
- (2016): Product and Process Platforms in Transport Infrastructure Projects. Présenté pendant: IABSE Congress: Challenges in Design and Construction of an Innovative and Sustainable Built Environment, Stockholm, Sweden, 21-23 September 2016.
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