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David Criado-Ramón
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Journal Articles
- 2024
- [j9]J. R. S. Iruela, Luis G. Baca Ruíz, David Criado-Ramón, Maria del Carmen Pegalajar, Manuel I. Capel:
A GPU-accelerated adaptation of the PSO algorithm for multi-objective optimization applied to artificial neural networks to predict energy consumption. Appl. Soft Comput. 160: 111711 (2024) - [j8]David Criado-Ramón, Luis G. Baca Ruíz, Maria del Carmen Pegalajar:
An Application of Fuzzy Symbolic Time-Series for Energy Demand Forecasting. Int. J. Fuzzy Syst. 26(3): 703-717 (2024) - [j7]David Criado-Ramón, Luis G. Baca Ruíz, J. R. S. Iruela, Maria del Carmen Pegalajar:
A Novel Non-Intrusive Load Monitoring Algorithm for Unsupervised Disaggregation of Household Appliances. Inf. 15(2): 87 (2024) - 2023
- [j6]David Criado-Ramón, Luis G. Baca Ruíz, Maria del Carmen Pegalajar:
An Improved Pattern Sequence-Based Energy Load Forecast Algorithm Based on Self-Organizing Maps and Artificial Neural Networks. Big Data Cogn. Comput. 7(2): 92 (2023) - [j5]David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar:
CUDA-bigPSF: An optimized version of bigPSF accelerated with graphics processing Unit. Expert Syst. Appl. 230: 120661 (2023) - [j4]Luiza Araujo Costa Silva, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Joao Gabriel Bessa, Leonardo Micheli, Maria del Carmen Pegalajar Jiménez:
Assessing the impact of soiling on photovoltaic efficiency using supervised learning techniques. Expert Syst. Appl. 231: 120816 (2023) - [j3]A. Cabrera, Luis G. Baca Ruíz, David Criado-Ramón, C. D. Barranco, Maria del Carmen Pegalajar:
Application of Fuzzy and Conventional Forecasting Techniques to Predict Energy Consumption in Buildings. Int. J. Intell. Syst. 2023: 1-12 (2023) - [j2]Marcos Hernández Rodríguez, Luis Gonzaga Baca Ruiz, David Criado-Ramón, Maria del Carmen Pegalajar Jiménez:
Artificial Intelligence-Based Prediction of Spanish Energy Pricing and Its Impact on Electric Consumption. Mach. Learn. Knowl. Extr. 5(2): 431-447 (2023) - 2022
- [j1]David Criado-Ramón, Luis G. Baca Ruíz, Manuel P. Cuéllar:
Electric demand forecasting with neural networks and symbolic time series representations. Appl. Soft Comput. 122: 108871 (2022)
Coauthor Index
aka: Maria del Carmen Pegalajar
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