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Computational characterization of the behavior of a saliva droplet in a social environment
(Nature Research, 2022-04)
[EN] The conduct of respiratory droplets is the basis of the study to reduce the spread of a virus in society. The pandemic suffered in early 2020 due to COVID-19 shows the lack of research on the evaporation and fate of ...
A Study of Learning Issues in Feedforward Neural Networks
(MDPI, 2022-09-05)
When training a feedforward stochastic gradient descendent trained neural network, there is a possibility of not learning a batch of patterns correctly that causes the network to fail in the predictions in the areas adjacent ...
Stability Analysis for Autonomous Vehicle Navigation Trained over Deep Deterministic Policy Gradient
(MDPI, 2022-12-27)
The Deep Deterministic Policy Gradient (DDPG) algorithm is a reinforcement learning algorithm that combines Q-learning with a policy. Nevertheless, this algorithm generates failures that are not well understood. Rather ...
Spatially Offset Raman Spectroscopy for Characterization of a Solid-State System
(MDPI, 2022-12-27)
Solid-state batteries represent a promising technology in the field of high-energy-density and safe storage systems. Improving the understanding of how defects form within these cells would greatly facilitate future ...
Battery Sizing Optimization in Power Smoothing Applications
(MDPI, 2022-01-19)
The main objective of this work was to determine the worth of installing an electrical battery in order to reduce peak power consumption. The importance of this question resides in the expensive terms of energy bills when ...
CNN-based flow control device modelling on aerodynamic airfoils
(Nature, 2022-06-17)
Wind energy has become an important source of electricity generation, with the aim of achieving a cleaner and more sustainable energy model. However, wind turbine performance improvement is required to compete with ...
Flow control based 5 MW wind turbine enhanced energy production for hydrogen generation cost reduction
(2022-02-05)
Improving the performance and the production of renewable energy sources, especially the wind energy, is considered an attractive approach to reduce the Cost of Energy (COE) associated to the hydrogen generation process. ...
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 ...
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) ...
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 ...