Gijón, Alfonso, Pujana-Goitia, Ainhoa, Perea, Eugenio, Molina-Solana, Miguel, Gómez-Romero, Juan. (2026). Prediction of wind turbines power with physics-informed neural networks and evidential uncertainty quantification. Engineering Applications of Artificial Intelligence. 164.
10.1016/j.engappai.2025.113331
Campoy-Nieves, Alejandro, Manjavacas, Antonio, Jiménez-Raboso, Javier, Molina-Solana, Miguel, Gómez-Romero, Juan. (2025). SINERGYM - A virtual testbed for building energy optimization with Reinforcement Learning. Energy and Buildings. 327.
10.1016/j.enbuild.2024.115075
Gijón, Alfonso, Eiraudo, Simone, Manjavacas, Antonio, Schiera, Antonio, Schiera, Daniele Salvatore, Molina-Solana, Miguel, Gómez-Romero, Juan. (2025). Integrating physics and data-driven approaches: An explainable and uncertainty-aware hybrid model for wind turbine power prediction. Computer Physics Communications. 316.
10.1016/j.cpc.2025.109761
Eiraudo, Simone, Gijón, Alfonso, Manjavacas, Antonio, Schiera, D.S., Barbierato, Luca, Molina-Solana, Miguel, Gómez-Romero, Juan, Giannantonio, Roberta, Bottaccioli, Lorenzo, Lanzini, Andrea. (2025). Experimental Application of a Semi-Parametric Model for Interpretable and Accurate Regression Analysis of Building Energy Consumption. Energy and Buildings.
10.1016/j.enbuild.2025.116495
Gómez-Romero, Juan, Cantón-Correa, Javier, Pérez-Mercado, Rubén, Prados-Abad, Francisco, Molina-Solana, Miguel, Fajardo, Waldo. (2025). pytopicgram: A library for data extraction and topic modeling from Telegram channels. SoftwareX. 30.
10.1016/j.softx.2025.102141
Tammisetti, Vasu, Stettinger, Georg, Pegalajar-Cuellar, Manuel, Molina-Solana, Miguel. (2025). Real-Time Detection of Rear Car Signals for Advanced Driver Assistance Systems Using Meta-Learning and Geometric Post-Processing. Applied Sciences. 15, (22).
10.3390/app152211964
Tammisetti, Vasu, Stettinger, Georg, Pegalajar-Cuellar, Manuel, Molina-Solana, Miguel. (2025). Meta-YOLOv8: Meta-Learning-Enhanced YOLOv8 for Precise Traffic Light Color Detection in ADAS. Electronics. 14, (3).
10.3390/electronics14030468
Manjavacas, Antonio, Campoy-Nieves, Alejandro, Jiménez-Raboso, Javier, Molina-Solana, Miguel, Gómez-Romero, Juan. (2024). An experimental evaluation of deep reinforcement learning algorithms for HVAC control. Artificial Intelligence Review. 57.
10.1007/s10462-024-10819-x
Gijón, Alfonso, Molina-Solana, Miguel, Gómez-Romero, Juan. (2024). Graph-neural-network potential energy surface to speed up Monte Carlo simulations of water cluster anions. Journal of Computational Science. 81.
10.1016/j.jocs.2024.102383
Tammisetti, Vasu, Bierzynski, Kay, Stettinger, Georg, Morales-Santos, Diego P., Pegalajar-Cuellar, Manuel, Molina-Solana, Miguel. (2024). LaANIL: ANIL with Look-Ahead Meta-Optimization and Data-Parallelism. Electronics. 13, (8).
10.3390/electronics13081585
Uceda, Rafael García, Gijón, Alfonso, Miguez-Lago, Sandra, Cruz, Carlos M., Blanco, Victor, Fernandez-Alvarez, Fatima, de Cienfuegos, Luis Alvarez, Molina-Solana, Miguel, Gómez-Romero, Juan, Miguel, Delia, Mota, Antonio, Cuerva, Juan M.. (2024). Can Deep Learning Search for Exceptional Chiroptical Properties? The Halogenated [6]Helicene Case. Angewandte Chemie. 63.
10.1002/anie.202409998
Huitzil, Ignacio, Molina-Solana, Miguel, Gómez-Romero, Juan, Schorlemmer, Marco, García-Calvés, Pere, Osman, Nardine, Coll, Josep, Bobillo, Fernando. (2024). Semantic Building Information Modeling: An Empirical Evaluation of Existing Tools. Journal of Industrial Information Integration. 42.
10.1016/j.jii.2024.100731
Fernández, Félix, Gijón, Alfonso, Molina-Solana, Miguel, Gómez-Romero, Juan. (2023). Physics-informed neural networks for data-driven simulation: Advantages, limitations, and opportunities. Physica A: Statistical Mechanics and its Applications. 610.
10.1016/j.physa.2022.128415
Soman, Ranjith K., Molina-Solana, Miguel. (2022). Automating look-ahead schedule generation for construction using linked-data and reinforcement learning. Automation in Construction. 134.
10.1016/j.autcon.2021.104069
Dmitrewski, Alex, Molina-Solana, Miguel, Arcucci, Rossella. (2022). CntrlDA: A building energy management control system with real-time adjustments. Application to indoor temperature. Building and Environment. 215.
10.1016/j.buildenv.2022.108938
Tajnafoi, Gabor, Arcucci, Rossella, Mottet, Laetitia, Vouriot, Carolanne, Molina-Solana, Miguel, Pain, Christopher, Guo, Yike. (2021). Variational Gaussian Process for optimal sensor placement. Applications of Mathematics. 66, (2). 287-317.
10.21136/AM.2021.0307-19
Gan, Huan Min, Fernando, Senaka, Molina-Solana, Miguel. (2021). Scalable object detection pipeline for traffic cameras: Application to Tfl JamCams. Expert Systems with Applications. 182.
10.1016/j.eswa.2021.115154
Huitzil, Ignacio, Molina-Solana, Miguel, Gómez-Romero, Juan, Bobillo, Fernando. (2021). Minimalistic Fuzzy Ontology Reasoning: An application to Building Information Modeling. Applied Soft Computing. 103.
10.1016/j.asoc.2021.107158
Dur, Tolga H., Arcucci, Rossella, Mottet, Laetitia, Molina-Solana, Miguel, Pain, Christopher, Guo, Yike. (2020). Weak Constraint Gaussian Processes for Optimal Sensor Placement. Journal of Computational Science. 42.
10.1016/j.jocs.2020.101110
Baca-Ruiz, Luis G., Pegalajar, M.C., Molina-Solana, Miguel, Guo, Yike. (2020). A case study on understanding energy consumption through prediction and visualisation (VIMOEN). Journal of Building Engineering. 30.
10.1016/j.jobe.2020.101315
Baca-Ruiz, Luis G., Pegalajar, M.C., Arcucci, Rossella, Molina-Solana, Miguel. (2020). A time-series clustering methodology for knowledge extraction in energy consumption data. Expert Systems with Applications. 160.
10.1016/j.eswa.2020.113731
Soman, Ranjith K., Molina-Solana, Miguel, Whyte, Jennifer. (2020). Linked-Data Constraint Checking (LDCC) to support look-ahead planning in construction. Automation in Construction. 120.
10.1016/j.autcon.2020.103369
Mack, Julian, Arcucci, Rossella, Molina-Solana, Miguel, Guo, Yike. (2020). Attention-based Convolutional Autoencoders for 3D-Variational Data Assimilation. Computer Methods in Applied Mechanics and Engineering. 372.
10.1016/j.cma.2020.113291
Gómez-Romero, Juan, Fernández-Basso, Carlos J., Cambronero, M. Victoria, Molina-Solana, Miguel, Campaña, Jesús, Ruiz, M. Dolores, Martin-Bautista, María J.. (2019). A Probabilistic Algorithm for Predictive Control with Full-Complexity Models in Non-Residential Buildings. IEEE Access. 7. 38748-38765.
10.1109/ACCESS.2019.2906311
Rueda, Ramón, Cuellar, Manuel Pegalajar, Molina-Solana, Miguel, Guo, Yike, Pegalajar, M.C.. (2019). Generalized regression hypothesis induction for energy consumption forecasting. Energies. 12, (6).
10.3390/en12061069
Gómez-Romero, Juan, Molina-Solana, Miguel, Ros, María, Ruiz, M. Dolores, Martin-Bautista, María J.. (2018). Comfort as a Service: a new paradigm for residential environmental quality control. Sustainability. 10, (9).
10.3390/su10093053
Molina-Solana, Miguel, Ros, Maria, Ruiz, M. Dolores, Gómez-Romero, Juan, Martin-Bautista, M.J.. (2017). Data Science for Building Energy Management: a review. Renewable and Sustainable Energy Reviews. 70. 598-609.
10.1016/j.rser.2016.11.132
Molina-Solana, Miguel, Ros, Maria, Delgado, Miguel. (2013). Unifying fuzzy controller for indoor environment quality. Proc. 2013 Joint IFSA World Congress NAFIPS Annual Meeting. 1080-1085.
10.1109/IFSA-NAFIPS.2013.6608550
http://www.ualberta.ca/~reformat/ifsa2013/
Molina-Solana, Miguel, Ros, Maria, Martín-Bautista, María José, Vila, Amparo. (2014). Minería de datos y gestión energética: tendencias actuales. Proc. XVII Congreso Español sobre Tecnologías y Lógica Fuzzy (ESTYLF2014). 627-632.
http://estylf2014.unizar.es/
Molina-Solana, Miguel. (2014). Data mining for building energy management. Proc. Sustainable Places 2014.
http://sustainable-places.eu/past-events/sp2014/
Molina-Solana, Miguel, Ros, Maria, Delgado, Miguel. (2015). Unifying fuzzy controller for IEQ: implementation in a Raspberry Pi. Proc. 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. 89. 1034-1039.
10.2991/ifsa-eusflat-15.2015.146
http://www.softcomputing.es/ifsa-eusflat2015/
Ros, Maria, Molina-Solana, Miguel, Martin-Bautista, M.J., Delgado, Miguel, Vila, Amparo. (2015). Learning User Activities from Energy Demand Profiles. Proc. 2015 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology. 873-879.
10.2991/ifsa-eusflat-15.2015.123
http://www.softcomputing.es/ifsa-eusflat2015/
Gómez-Romero, Juan, Ruiz, M.D., Fernández-Basso, C., Molina-Solana, Miguel, Ros, Maria, Martin-Bautista, M.J.. (2016). Advances in Data Science for Building Energy Management. Proc. 9th International Conference Improving Energy Efficiency in Commercial Buildings and Smart Communities (IEECB&SC'16).
http://iet.jrc.ec.europa.eu/energyefficiency/node/9096
Gómez-Romero, Juan, Molina-Solana, Miguel. (2018). GraphDL: An Ontology for Linked Data Visualisation. Proc. CAEPIA 2018.
10.1007/978-3-030-00374-6_33
http://caepia18.aepia.org
Gómez, Juan, Molina-Solana, Miguel. (2019). Towards self-adaptive building energy control in smart grids. NeurIPS 2019 Workshop Tackling Climate Change with Machine Learning.
https://www.climatechange.ai/NeurIPS2019_workshop.html
Lim, Edward, Arcucci, Rossella, Molina-Solana, Miguel, Pain, Christopher, Guo, Yike. (2019). Hybrid Data Assimilation: an Ensemble-Variational Approach. Proc. 15th International Conference on Signal Image Technology & Internet-based systems (SITIS2019). 633-640.
10.1109/SITIS.2019.00104
http://www.sitis-conf.org/
Arcucci, Rossella, Vouriot, Carolanne, Molina-Solana, Miguel, Pain, Christopher. (2020). Variational Gaussian Process For Optimal Sensor Placement. Proc. 3rd International Conference on Modern Mathematical Methods and High Performance Computing in Science and Technology (M3HPCST-2020).
https://m3hpcst-2020.ipec.org.in/
Gómez-Romero, Juan, Molina-Solana, Miguel. (2021). Towards data-driven simulation models for building energy management. Machine Learning and Data Assimilation for Dynamical Systems (MLDADS 2021).
10.1007/978-3-030-77977-1_32
Jiménez-Raboso, Javier, Campoy-Nieves, Alejandro, Manjavacas-Lucas, Antonio, Gómez-Romero, Juan, Molina-Solana, Miguel. (2021). Sinergym: A Building Simulation and Control Framework for Training Reinforcement Learning Agents. Procs. 8th ACM International Conference on Systems for Energy-Efficient Buildings, Cities, and Transportation - 2nd ACM SIGEnergy Workshop on Reinforcement Learning for Energy Management in Buildings & Cities (RLEM). 319-323.
10.1145/3486611.3488729
https://rlem-workshop.net/
Gijón, Alfonso, Molina-Solana, Miguel, Gómez-Romero, Juan. (2023). Graph neural network potentials for molecular dynamics simulations of water cluster anions. Computational Science (ICCS 2023). 336-343.
10.1007/978-3-031-36027-5_25
Jiménez-Raboso, Javier, Manjavacas, Antonio, Campoy-Nieves, Alejandro, Molina-Solana, Miguel, Gómez-Romero, Juan. (2023). Explaining Deep Reinforcement Learning-based methods for control of building HVAC systems. 1st World Conference on Explainable Artificial Intelligence (xAI 2023). 237-255.
10.1007/978-3-031-44067-0_13
Gijón, Alfonso, Eiraudo, Simone, Manjavacas, Antonio, Bottaccioli, Lorenzo, Lanzini, Andrea, Molina-Solana, Miguel, Gómez-Romero, Juan. (2024). Explainable hybrid semi-parametric model for prediction of power generated by wind turbines. Computational Science (ICCS 2024).
10.1007/978-3-031-63775-9_21
Manjavacas, Antonio, Campoy-Nieves, Alejandro, Molina-Solana, Miguel, Gómez-Romero, Juan. (2024). Exploring Deep Reinforcement Learning algorithms for enhanced HVAC control. Procs. 11th International Conference on Soft Methods in Probability and Statistics (SMPS2024).
http://www.smps2024.com
Eiraudo, Simone, Gijón, Alfonso, Manjavacas, Antonio, Schiera, D., Barbierato, L., Molina-Solana, Miguel, Gómez-Romero, Juan, Giannantonio, R., Bottaccioli, Lorenzo, Lanzini, Andrea. (2024). Experimental Application of a Semi-Parametric Model for Interpretable and Accurate Regression Analysis of Buildings Energy Consumption. Procs. 19th Conference on Sustainable Development of Energy, Water and Environment Systems (SDEWES).
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