2023
Authors
Carvalhosa, SM; Ferreira, JRDP; Araújo, RE;
Publication
2023 IEEE VEHICLE POWER AND PROPULSION CONFERENCE, VPPC
Abstract
This paper presents a new strategy for recharging electric vehicles in residential buildings. The proposed approach minimizes the difference between desired and final state of charge (SOC) by the end of the charging period, by adjusting the charging power for each vehicle in real-time. A non-linear optimization problem is formulated, considering the initial and final SOC, as well as available charging time, and total available power. Results were compared to a baseline and show that the proposed solution outperforms the currently most used nonoptimized method, particularly in high demand scenarios, where we achieve values of 9.3% of curtailed range when compared with the non-optimized methodology.
2023
Authors
Antal, L; Aubard, M; Ábrahám, E; Madureira, A; Madureira, L; Costa, M; Pinto, J; Campos, R;
Publication
Lecture Notes in Networks and Systems
Abstract
Over the past decades, underwater robotics has enjoyed growing popularity and relevance. While performing a mission, one crucial task for Autonomous Underwater Vehicles (AUVs) is bottom tracking, which should keep a constant distance from the seabed. Since static obstacles like walls, rocks, or shipwrecks can lie on the sea bottom, bottom tracking needs to be extended with obstacle avoidance. As AUVs face a wide range of uncertainties, implementing these essential operations is still challenging. A simple rule-based control method has been proposed in [7] to realize obstacle avoidance. In this work, we propose an alternative AI-based control method using a Long Short-Term Memory network. We compare the performance of both methods using real-world data as well as via a simulator. © 2023, The Author(s), under exclusive license to Springer Nature Switzerland AG.
2023
Authors
Tosin, R; Monteiro Silva, F; Martins, R; Cunha, M;
Publication
CSAC 2023
Abstract
2023
Authors
Cota, D; Martins, J; Mamede, H; Branco, F;
Publication
Journal of Open Innovation: Technology, Market, and Complexity
Abstract
2023
Authors
Botelho, AR; Silva, HF; Martins, IS; Carneiro, IC; Carvalho, SD; Henrique, RM; Tuchin, VV; Oliveira, LM;
Publication
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
Abstract
A fast calculation method was used to obtain the spectral optical properties of human normal and pathological (chromophobe renal cell carcinoma) kidney tissues. Using total transmittance, total reflectance and collimated transmittance spectra acquired from ex vivo kidney samples, the spectral optical properties of both tissues, namely the absorption, the scattering and the reduced scattering coefficients, as well as the scattering anisotropy, dispersion and light penetration depth, were calculated between 200 and 1000 nm. Analysis of the mean absorption coefficient spectra of the kidney tissues showed that both contain melanin and lipofuscin, and that 83 % of the melanin in the normal kidney converts into lipofuscin in the pathological kidney.
2023
Authors
Au-Yong-Oliveira, M;
Publication
R&D Management
Abstract
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