Debaditya Chakraborty 
- (2023): A Hybrid TOPSIS-Structure Entropy Weight Group Subcontractor Selection Model for Large Construction Companies. In: Buildings, v. 13, n. 6 (23 May 2023).
- (2016): Generation of accurate weather files using a hybrid machine learning methodology for design and analysis of sustainable and resilient buildings. In: Sustainable Cities and Society, v. 24 (July 2016).
- (2017): A vague set fuzzy multi-attribute group decision-making model for selecting onsite renewable energy technologies for institutional owners of constructed facilities. In: Sustainable Cities and Society, v. 35 (November 2017).
- (2018): Advanced machine learning techniques for building performance simulation: a comparative analysis. In: Journal of Building Performance Simulation, v. 12, n. 2 (September 2018).
- (2017): Performance testing of energy models: are we using the right statistical metrics?. In: Journal of Building Performance Simulation, v. 11, n. 4 (December 2017).
- (2019): Early detection of faults in HVAC systems using an XGBoost model with a dynamic threshold. In: Energy and Buildings, v. 185 (February 2019).
- (2017): Building Information Modeling enabled Cascading Formwork Management Tool. In: Automation in Construction, v. 83 (November 2017).
Structurae cooperates with
