Francisco Troncoso-Pastoriza 
- (2020): Model Calibration Methodology to Assess the Actual Lighting Conditions of a Road Infrastructure. Dans: Infrastructures, v. 5, n. 1 (janvier 2020).
- (2022): IoT-based platform for automated IEQ spatio-temporal analysis in buildings using machine learning techniques. Dans: Automation in Construction, v. 139 (juillet 2022).
- (2021): Use of optimised MLP neural networks for spatiotemporal estimation of indoor environmental conditions of existing buildings. Dans: Building and Environment, v. 205 (novembre 2021).
- (2020): Ellipsoid-based approximation method for the estimation of the actual reduced luminance coefficients of road surfaces for accurate lighting simulations. Dans: Sustainable Cities and Society, v. 63 (décembre 2020).
- (2018): Generation of BIM data based on the automatic detection, identification and localization of lamps in buildings. Dans: Sustainable Cities and Society, v. 36 (janvier 2018).
- (2019): Use of BIM data as input and output for improved detection of lighting elements in buildings. Dans: Automation in Construction, v. 106 (octobre 2019).
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