LUIS
HERNANDEZ CALLEJO
PROFESORES TITULARES DE UNIVERSIDAD
ANTONIO JAVIER
SANCHEZ ESGUEVILLAS
Investigador en el període 2002-2011
Publicacions en què col·labora amb ANTONIO JAVIER SANCHEZ ESGUEVILLAS (15)
2021
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Additive ensemble neural network with constrained weighted quantile loss for probabilistic electric‐load forecasting
Sensors, Vol. 21, Núm. 9
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Novel data-driven models applied to short-term electric load forecasting
Applied Sciences (Switzerland), Vol. 11, Núm. 12
2019
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Exploratory study on Class Imbalance and solutions for Network Traffic Classification
Neurocomputing, Vol. 343, pp. 100-119
2017
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Aprendizaje Automático para Caracterización de Tráfico de Redes: Metodología y Comparación de Algoritmos Ensamblados
III Jornadas Doctorales Escuela Internacional de Doctorado de la Universidad de Murcia (EIDUM)
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Ensemble network traffic classification: Algorithm comparison and novel ensemble scheme proposal
Computer Networks, Vol. 127, pp. 68-80
2014
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A survey on electric power demand forecasting: Future trends in smart grids, microgrids and smart buildings
IEEE Communications Surveys and Tutorials, Vol. 16, Núm. 3, pp. 1460-1495
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Artificial neural network for short-term load forecasting in distribution systems
Energies, Vol. 7, Núm. 3, pp. 1576-1598
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Artificial neural networks for short-term load forecasting in microgrids environment
Energy, Vol. 75, pp. 252-264
2013
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A multi-agent system architecture for smart grid management and forecasting of energy demand in virtual power plants
IEEE Communications Magazine, Vol. 51, Núm. 1, pp. 106-113
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Experimental analysis of the input variables' relevance to forecast next day's aggregated electric demand using neural networks
Energies, Vol. 6, Núm. 6, pp. 2927-2948
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Improved short-term load forecasting based on two-stage predictions with artificial neural networks in a microgrid environment
Energies, Vol. 6, Núm. 9, pp. 4489-4507
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Short-term load forecasting for microgrids based on artificial neural networks
Energies, Vol. 6, Núm. 3, pp. 1385-1408
2012
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A study of the relationship between weather variables and electric power demand inside a smart grid/smart world framework
Sensors (Switzerland), Vol. 12, Núm. 9, pp. 11571-11591
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Classification and clustering of electricity demand patterns in industrial parks
Energies, Vol. 5, Núm. 12, pp. 5215-5228
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Performance study of the application of artificial neural networks to the completion and prediction of data retrieved by underwater sensors
Sensors, Vol. 12, Núm. 2, pp. 1468-1481