Listar por autor "c90873d0-1e96-491e-8cdb-fdfa8ecf62b9"
Mostrando ítems 1-2 de 2
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Building Suitable Datasets for Soft Computing and Machine Learning Techniques from Meteorological Data Integration: A Case Study for Predicting Significant Wave Height and Energy Flux
Gómez-Orellana, Antonio Manuel; Fernández, Juan Carlos; Dorado Moreno, Manuel; Gutiérrez, Pedro A.; Hervás-Martínez, César (MDPI, 2021)Meteorological data are extensively used to perform environmental learning. Soft Computing (SC) and Machine Learning (ML) techniques represent a valuable support in many research areas, but require datasets containing ... -
Optimal Microgrid Topology Design and Siting of Distributed Generation Sources Using a Multi-Objective Substrate Layer Coral Reefs Optimization Algorithm
Jiménez-Fernández, Silvia; Camacho-Gómez, Carlos; Mallol-Poyato, Ricardo; Fernández, Juan Carlos; Ser, Javier del; Portilla-Figueras, Antonio; Salcedo Sanz, S. (MDPI, 2019)In this work, a problem of optimal placement of renewable generation and topology design for a Microgrid (MG) is tackled. The problem consists of determining the MG nodes where renewable energy generators must be optimally ...