Luis Gonzaga Baca Ruiz
Luis Gonzaga Baca Ruiz
PhD, Department of Software Engineering, University of Granada
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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
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
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
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
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
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
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
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
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
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
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
Electric demand forecasting with neural networks and symbolic time series representations
D Criado-Ramón, LGB Ruiz, MC Pegalajar
Applied Soft Computing 122, 108871, 2022
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
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
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
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
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
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
A similarity measure for Straight Line Programs and its application to control diversity in Genetic Programming
R Rueda, MP Cuéllar, LGB Ruíz, MC Pegalajar
Expert Systems with Applications 194, 116415, 2022
Gestión de la eficiencia energética mediante técnicas de minería de datos
LG Baca Ruiz
Universidad de Granada, 2020
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