In this study, a hybrid model based on intelligent techniques is developed to predict the
active power generated in a bioclimatic house by a low power wind turbine. Contrary to …

Automatic control of physiological variables is one of the most active areas in biomedical
engineering. This paper is centered in the prediction of the analgesic variables evolution in …

The harmful consequences of fossil fuels use has resulted in the promotion of clean and
renewable energies. During the past decades, green technologies have experienced a …

The current environmental challenges require the implementation of environmentally
friendly energy production systems. In this context, proton exchange membrane fuel cell …

Electric vehicles (EVs), in their pure and hybrid variants, have become the main alternative
to ensure the decarbonization of the current vehicle fleet. Due to its excellent performance …

The use of batteries became essential in our daily life in electronic devices, electric vehicles
and energy storage systems in general terms. As they play a key role in many devices, their …

Hydrogen economy is one of the recently opened alternatives in the field of non-polluting
energy. Hydrogen fuel cells show high performance, high reliability in stationary applications …

In this paper, a control-oriented model of a solid oxide fuel cell system is formulated and
analyzed in detail. First, a lumped model based on first principle laws is formulated and …

A dimensional reduction algorithm is applied to an intelligent classification model with the
purpose of improving the efficiency and accuracy. The proposed classification model, used …

Hydrogen-based energy storage and generation is an increasingly used technology,
especially in renewable systems because they are non-polluting devices. Fuel cells are …