| An application of non-linear autoregressive neural networks to predict energy consumption in public buildings LGB Ruiz, M Cuéllar, M Calvo-Flores, MC Pegalajar Energies 9 (9), 684, 2016 | 276 | 2016 |
| Energy consumption forecasting based on Elman neural networks with evolutive optimization LGB Ruiz, R Rueda, MP Cuéllar, MC Pegalajar Expert Systems with Applications 92, 380-389, 2018 | 203 | 2018 |
| Data learning: Integrating data assimilation and machine learning C Buizza, CQ Casas, P Nadler, J Mack, S Marrone, Z Titus, C Le Cornec, ... Journal of Computational Science 58, 101525, 2022 | 77 | 2022 |
| A time-series clustering methodology for knowledge extraction in energy consumption data LGB Ruiz, MC Pegalajar, R Arcucci, M Molina-Solana Expert Systems with Applications 160, 113731, 2020 | 72 | 2020 |
| A Munsell colour-based approach for soil classification using Fuzzy Logic and Artificial Neural Networks MC Pegalajar, LGB Ruíz, M Sánchez-Marañón, L Mansilla FUZZY sets and systems 401, 38-54, 2020 | 48 | 2020 |
| Parallel memetic algorithm for training recurrent neural networks for the energy efficiency problem LGB Ruíz, MI Capel, MC Pegalajar Applied Soft Computing 76, 356-368, 2019 | 39 | 2019 |
| A case study on understanding energy consumption through prediction and visualization (VIMOEN) LGB Ruiz, MC Pegalajar, M Molina-Solana, YK Guo Journal of Building Engineering 30, 101315, 2020 | 28 | 2020 |
| A tensorflow approach to data analysis for time series forecasting in the energy-efficiency realm JRS Iruela, LGB Ruiz, MI Capel, MC Pegalajar Energies 14 (13), 4038, 2021 | 24 | 2021 |
| Analysis and enhanced prediction of the Spanish Electricity Network through Big Data and Machine Learning techniques MC Pegalajar, LGB Ruíz, MP Cuéllar, R Rueda International Journal of Approximate Reasoning 133, 48-59, 2021 | 18 | 2021 |
| An Ant Colony Optimization approach for symbolic regression using Straight Line Programs. Application to energy consumption modelling R Rueda, LGB Ruíz, MP Cuéllar, MC Pegalajar International Journal of Approximate Reasoning 121, 23-38, 2020 | 18 | 2020 |
| A parallel solution with GPU technology to predict energy consumption in spatially distributed buildings using evolutionary optimization and artificial neural networks JRS Iruela, LGB Ruiz, MC Pegalajar, MI Capel Energy conversion and management 207, 112535, 2020 | 18 | 2020 |
| Photovoltaic energy production forecasting through machine learning methods: A scottish solar farm case study L Cabezón, LGB Ruiz, D Criado-Ramón, E J. Gago, MC Pegalajar Energies 15 (22), 8732, 2022 | 13 | 2022 |
| Electric demand forecasting with neural networks and symbolic time series representations D Criado-Ramón, LGB Ruíz, MC Pegalajar Applied Soft Computing 122, 108871, 2022 | 12 | 2022 |
| Niveles de glicemia y de hemoglobina glicosilada en un grupo de pacientes diabéticos tipo II de la Península de Guanacaste, Costa Rica M Jiménez, L Ruiz Rev. Costarric. Cienc. Méd 23 (3-4), 133-44, 2002 | 9 | 2002 |
| Application of classical and advanced Machine Learning models to predict personality on social media P Sánchez-Fernández, LGB Ruiz, MCP Jiménez Expert Systems with Applications 216, 119498, 2023 | 8 | 2023 |
| Artificial neural networks and fuzzy logic for specifying the color of an image using munsell soil-color charts MC Pegalajar, M Sánchez-Marañón, LG Baca Ruíz, L Mansilla, ... International Conference on Information Processing and Management of …, 2018 | 8 | 2018 |
| Niveles de glicemia y de hemoglobina glicosilada en un grupo de diabéticos nicoyanos MF Jiménez, L Ruíz Acta Med Costarric 43 (suplemento 1), 15, 2001 | 7 | 2001 |
| A parsimonious methodological framework for short-term forecasting of groundwater levels AJ Collados-Lara, D Pulido-Velazquez, LGB Ruiz, MC Pegalajar, ... Science of the Total Environment 881, 163328, 2023 | 6 | 2023 |
| A comparison between NARX neural networks and symbolic regression: An application for energy consumption forecasting R Rueda Delgado, LG Baca Ruíz, M Pegalajar Cuéllar, ... International Conference on Information Processing and Management of …, 2018 | 5 | 2018 |
| An application of non-linear autoregressive neural networks to predict energyconsumption in public buildings. Energies 2016 (9): 684 LGB Ruiz, MP Cuellar, MD Calvo-Flores, MCP Jimenez | 5 | 2016 |
María del Carmen Pegalajar JiménezUniversidad de Granada在 decsai.ugr.es 的电子邮件经过验证
