Jesús M. Zamarreño
Jesús M. Zamarreño
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TitleCited byYear
Prediction of hourly energy consumption in buildings based on a feedback artificial neural network
PA Gonzalez, JM Zamarreno
Energy and Buildings 37 (6), 595-601, 2005
3322005
Neural predictive control. Application to a highly non-linear system
JM Zamarreno, P Vega
Engineering Applications of Artificial Intelligence 12 (2), 149-158, 1999
1011999
State space neural network. Properties and application
JM Zamarreño, P Vega
Neural networks 11 (6), 1099-1112, 1998
781998
State-space neural network for modelling, prediction and control
JM Zamarreno, P Vega, LD Garcıa, M Francisco
Control Engineering Practice 8 (9), 1063-1075, 2000
472000
Identification and predictive control of a melter unit from the sugar industry using recurrent neural nets
J Zamarreño, P Vega
Proceedings of Eann96–Engineering Applications of Neural Networks, 119-126, 1996
27*1996
Identification and predictive control of a melter unit used in the sugar industry
JM Zamarreño, P Vega
Artificial Intelligence in Engineering 11 (4), 365-373, 1997
181997
Modeling photosynthetically oxygenated biodegradation processes using artificial neural networks
A Arranz, S Bordel, S Villaverde, JM Zamarreño, B Guieysse, R Muñoz
Journal of hazardous materials 155 (1-2), 51-57, 2008
152008
Energy savings and guaranteed thermal comfort in hotel rooms through nonlinear model predictive controllers
A Acosta, AI Gonzalez, JM Zamarreno, V Alvarez
Energy and Buildings 129, 59-68, 2016
142016
Modelo para la predicción energética de una instalación hotelera
AV Acosta, AI González, JM Zamarreño, V Álvarez
Revista Iberoamericana de Automática e Informática Industrial RIAI 8 (4 …, 2011
122011
A new plug-in for the creation of OPC servers based on EcosimPro© simulation software
JM Zamarreño, R Mazaeda, JA Caminero, AJ Rivero, JC Arroyo
Simulation Modelling Practice and Theory 40, 86-94, 2014
112014
Agent-based modeling of an activated sludge process in a batch reactor
M Pereda, JM Zamarreño
2011 19th Mediterranean Conference on Control & Automation (MED), 1128-1133, 2011
82011
OPC-based real time simulator: architecture and practical example
JM Zamarreño, LF Acebes, R Alvés
41st SIMS Simulation Conference, 366-325, 2000
82000
Using structural decomposition methods to design gray-box models for fault diagnosis of complex industrial systems: a beet sugar factory case study
B Pulido, JM Zamarreno, A Merino, A Bregon, DIS y Automática, ...
Proceedings of European Conference of the Prognostics and Health Management …, 2012
62012
State space neural networks and model-decomposition methods for fault diagnosis of complex industrial systems
B Pulido, JM Zamarreño, A Merino, A Bregon
Engineering Applications of Artificial Intelligence 79, 67-86, 2019
52019
Comunicación de LabVIEW con ecosimpro para la generación de predicciones en una columna de destilación
JM Zamarreño
Reporte interno. Departamento de Ingenierıa Automática. Universidad de …, 2000
52000
Neural Predictive Control Application to a Highly Non-Linear System
JM Zamarreño, P Vega
IFAC Proceedings Volumes 29 (1), 1002-1007, 1996
51996
A hotel building model for energy prediction
AV Acosta, AI Gonzalez, JM Zamarreno, V Alvarez
REVISTA IBEROAMERICANA DE AUTOMATICA E INFORMATICA INDUSTRIAL 8 (4), 309-322, 2011
32011
Modelado Basado en Agentes: un Enfoque desde la Ingeniería de Sistemas
M Pereda, JM Zamarreño
Revista Iberoamericana de Automática E Informática Industrial RIAI 12 (3 …, 2015
22015
An OOP agent-based model for the activated studge process using MATLAB
M Pereda, JM Zamarreno
Distributed Computing and Artificial Intelligence, 241-248, 2012
22012
SOLUCIONES-Diseno de un scada utilizando un simulador OPC-Mediante herramientas estandar se ha desarrollado un scada para monitorizar y controlar una planta piloto, asi como un …
LF Acebes, JM Zamarreño
Automática e Instrumentación, 76-86, 2001
22001
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Articles 1–20