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Performance enhancement of the artificial neural network– based reinforcement learning for wind turbine yaw control
(Wiley, 2019-11-03)
The yaw angle control of a wind turbine allows maximization of the power absorbed
from the wind and, thus, the increment of the system efficiency. Conventionally, classical
control algorithms have been used for the yaw ...
Sizing a Battery Energy Storage System for Hybrid Renewable Power Plants Based on Optimal Market Participation Under Different Market Scenarios
(IEEE, 2022-07-08)
This article presents a method for selecting
the best battery sizing based on an optimal market
participation strategy in a hybrid renewable power
plant. The proposed formulation consid-ers different
scenarios to ensure ...
Numerical performance of CO2 accumulation and droplet dispersion from a cough inside a hospital lift under different ventilation strategies
(Nature, 2024)
The impact of mechanical ventilation on airborne diseases is not completely known. The recent pandemic of COVID-19 clearly showed that additional investigations are necessary. The use of computational tools is an advantage ...
Alzheimer’s Disease Diagnosis Using Machine Learning: A Survey
(MDPI, 2023-07-18)
Alzheimer’s is a neurodegenerative disorder affecting the central nervous system and cognitive processes, explicitly impairing detailed mental analysis. Throughout this condition, the affected individual’s cognitive abilities ...
Simultaneous Object Detection and Distance Estimation for Indoor Autonomous Vehicles
(MDPI, 2023-11-21)
Object detection is an essential and impactful technology in various fields due to its ability to automatically locate and identify objects in images or videos. In addition, object-distance estimation is a fundamental ...
Systematic modeling of photovoltaic modules based on artificial neural networks
(Elsevier, 2016-06-03)
Using accurate models of photovoltaic modules is of major importance to make realistic simulations of these systems in order to study their elements for a better performance. In this paper we address the problem of the ...
Energy and thermal modelling of an office building to develop an artificial neural networks model
(Nature, 2022)
[EN] Nowadays everyone should be aware of the importance of reducing CO2 emissions which produce the greenhouse effect. In the field of construction, several options are proposed to reach nearly-Zero Energy Building (nZEB) ...
Artificial Intelligence Opportunities to Diagnose Degradation Modes for Safety Operation in Lithium Batteries
(MDPI, 2023-07-21)
The degradation and safety study of lithium-ion batteries is becoming increasingly important given that these batteries are widely used not only in electronic devices but also in automotive vehicles. Consequently, the ...
Cooktop Sensing Based on a YOLO Object Detection Algorithm
(MDPI, 2023-03-03)
Deep Learning (DL) has provided a significant breakthrough in many areas of research and industry. The development of Convolutional Neural Networks (CNNs) has enabled the improvement of computer vision-based techniques, ...
Online Identification of VLRA Battery Model Parameters Using Electrochemical Impedance Spectroscopy
(MDPI, 2022-11-14)
This paper introduces the use of a new low-computation cost algorithm combining neural networks with the Nelder–Mead simplex method to monitor the variations of the parameters of a previously selected equivalent ...