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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 ...
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 ...
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 ...
Vanadium Redox Flow Batteries: A Review Oriented to Fluid-Dynamic Optimization
(MDPI, 2020-12-31)
Large-scale energy storage systems (ESS) are nowadays growing in popularity due to the increase in the energy production by renewable energy sources, which in general have a random intermittent nature. Currently, several ...
Delamination Fracture Behavior of Unidirectional Carbon Reinforced Composites Applied to Wind Turbine Blades
(MDPI, 2021-01-27)
One of the materials that is used widely for wind turbine blade manufacturing are fiber-reinforced composites. Although glass fiber reinforcement is the most used in wind turbine blades, the use of carbon fiber allows ...
Computational Methods for Modelling and Optimization of Flow Control Devices
(MDPI, 2020-07-19)
Over the last few years, the advances in size and weight for wind turbines have led to the development of flow control devices. The current work presents an innovative method to model flow control devices based on a cell-set ...