Geothermal heat exchanger energy prediction based on time series and monitoring sensors optimization

B Baruque, S Porras, E Jove, JL Calvo-Rolle - Energy, 2019 - Elsevier
In recent years, the use of renewable energies has been promoted in most of developed
countries due to the climate change threat. In this scenario, the importance of geothermal …

Short-term energy demand forecast in hotels using hybrid intelligent modeling

JL Casteleiro-Roca, JF Gómez-González… - Sensors, 2019 - mdpi.com
The hotel industry is an important energy consumer that needs efficient energy management
methods to guarantee its performance and sustainability. The new role of hotels as …

A fault detection system for a geothermal heat exchanger sensor based on intelligent techniques

H Aláiz-Moretón, M Castejón-Limas… - Sensors, 2019 - mdpi.com
This paper proposes a methodology for dealing with an issue of crucial practical importance
in real engineering systems such as fault detection and recovery of a sensor. The main goal …

Hybrid intelligent model to predict the remifentanil infusion rate in patients under general anesthesia

E Jove, JM Gonzalez-Cava… - Logic Journal of the …, 2021 - academic.oup.com
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 …

Fuel cell output current prediction with a hybrid intelligent system

JL Casteleiro-Roca, AJ Barragán, F Segura… - …, 2019 - Wiley Online Library
A fuel cell is a complex system, which produces electricity through an electrochemical
reaction. For the formal application of control strategies on a fuel cell, it is very important to …

Missing data imputation over academic records of electrical engineering students

E Jove, P Blanco-Rodríguez… - Logic Journal of the …, 2020 - academic.oup.com
Nowadays, the quality standards of higher education institutions pay special attention to the
performance and evaluation of the students. Then, having a complete academic record of …

Machine learning techniques for computer-based decision systems in the operating theatre: application to analgesia delivery

JM Gonzalez-Cava, R Arnay… - Logic Journal of the …, 2021 - academic.oup.com
This work focuses on the application of machine learning techniques to assist the clinicians
in the administration of analgesic drug during general anaesthesia. Specifically, the main …

One-class-based intelligent classifier for detecting anomalous situations during the anesthetic process

A Leira, E Jove, JM Gonzalez-Cava… - Logic Journal of the …, 2022 - academic.oup.com
Closed-loop administration of propofol for the control of hypnosis in anesthesia has
evidenced an outperformance when comparing it with manual administration in terms of …

Adaptive drug interaction model to predict depth of anesthesia in the operating room

JM Gonzalez-Cava, JA Reboso, JL Calvo-Rolle… - … Signal Processing and …, 2020 - Elsevier
The availability of accurate models for predicting the drug effect in patients undergoing
general anesthesia is an important factor in producing a personalized drug infusion. These …

An intelligent system for harmonic distortions detection in wind generator power electronic devices

E Jove, JM González-Cava, JL Casteleiro-Roca… - Neurocomputing, 2021 - Elsevier
The high concern about climate change has boosted the promotion of renewable energy
systems, being the wind power one of the key generation possibilities in this field. In this …