Use of BIM Data as Input and Output for Improved Detection of Lighting Elements in Buildings. - Francisco Troncoso-Pastoriza; Pablo Eguía-Oller; Rebeca P. Díaz Redondo; Enrique Granada-Álvarez (CoRR, 2023)

Orientation-Constrained System for Lamp Detection in Buildings Based on Computer Vision. - Francisco Troncoso-Pastoriza; Pablo Eguía-Oller; Rebeca P. Díaz Redondo; Enrique Granada-Álvarez; Aitor Erkoreka (CoRR, 2023)

Optimisation of LSTM neural networks with NSGA-II and FDA for PV installations characterisation. - Miguel Martínez-Comesaña; Javier Martínez-Torres; Pablo Eguía-Oller (Eng. Appl. Artif. Intell., 2023)

Generation of BIM data based on the automatic detection, identification and localization of lamps in buildings. - Francisco Troncoso-Pastoriza; Pablo Eguía-Oller; Rebeca P. Díaz Redondo; Enrique Granada-Álvarez (CoRR, 2024)

Use of Optimised LSTM Neural Networks Pre-Trained With Synthetic Data to Estimate PV Generation. - Miguel Martínez-Comesaña; Javier Martínez-Torres; Pablo Eguía-Oller; Javier López-Gómez (Int. J. Interact. Multim. Artif. Intell., 2025)