Zobrazeno 1 - 10
of 132
pro vyhledávání: '"Alessandro Salvini"'
Autor:
Silvia Licciardi, Guido Ala, Elisa Francomano, Fabio Viola, Michele Lo Giudice, Alessandro Salvini, Fausto Sargeni, Vittorio Bertolini, Andrea Di Schino, Antonio Faba
Publikováno v:
Mathematics, Vol 12, Iss 21, p 3363 (2024)
The development of innovative materials, based on the modern technologies and processes, is the key factor to improve the energetic sustainability and reduce the environmental impact of electrical equipment. In particular, the modeling of magnetic hy
Externí odkaz:
https://doaj.org/article/719b66f0344242f39b866e811da45ac9
Autor:
Simone Quondam Antonio, Francesco Riganti Fulginei, Gabriele Maria Lozito, Antonio Faba, Alessandro Salvini, Vincenzo Bonaiuto, Fausto Sargeni
Publikováno v:
Mathematics, Vol 10, Iss 13, p 2346 (2022)
A neural network model to predict the dynamic hysteresis loops and the energy-loss curves (i.e., the energy versus the amplitude of the magnetic induction) of soft ferromagnetic materials at different operating frequencies is proposed herein. Firstly
Externí odkaz:
https://doaj.org/article/f771303aacdd4942b160df0d8b897267
Autor:
Giorgio Nardone, Alessandro Salvini
The Strategic Dialogue is a fine strategy by which one can achieve maximum results with minimum effort. It was developed through a natural evolutionary process from previous treatments for particular pathologies, and composed of therapeutic stratagem
Publikováno v:
Magnetochemistry, Vol 8, Iss 2, p 18 (2022)
A computationally efficient hysteresis model, based on a standalone deep neural network, with the capability of reproducing the evolution of the magnetization under arbitrary excitations, is here presented and applied in the simulation of a commercia
Externí odkaz:
https://doaj.org/article/29ecfa8afee14c3ba2ddbc97a4910be6
Publikováno v:
Advances in Electrical and Electronic Engineering, Vol 12, Iss 1, Pp 30-39 (2014)
This paper documents the research towards the analysis of different solutions to implement a Neural Network architecture on a FPGA design by using floating point accelerators. In particular, two different implementations are investigated: a high leve
Externí odkaz:
https://doaj.org/article/b9d471a2fe5e4ad2aeedc616173d4054
Publikováno v:
International Journal of Photoenergy, Vol 2015 (2015)
A hybrid neural network approach based tool for identifying the photovoltaic one-diode model is presented. The generalization capabilities of neural networks are used together with the robustness of the reduced form of one-diode model. Indeed, from t
Externí odkaz:
https://doaj.org/article/3bab98ce392b4811a1950dd98c7bcb9f
Autor:
Miguel Carrasco, Antonino Laudani, Gabriele Maria Lozito, Fernando Mancilla-David, Francesco Riganti Fulginei, Alessandro Salvini
Publikováno v:
Energies, Vol 10, Iss 7, p 998 (2017)
Determination of solar irradiance is a critical asset to ensure efficient working conditions for a photovoltaic (PV) system. This work analyze the feasibility of assessing solar irradiance on a PV device assuming the knowledge of the device temperatu
Externí odkaz:
https://doaj.org/article/16ed66eab50c474b81105cd90afd01eb
Autor:
Antonino Laudani, Francesco Riganti Fulginei, Alessandro Salvini, Gabriele Maria Lozito, Salvatore Coco
Publikováno v:
International Journal of Photoenergy, Vol 2014 (2014)
In recent years several numerical methods have been proposed to identify the five-parameter model of photovoltaic panels from manufacturer datasheets also by introducing simplification or approximation techniques. In this paper we present a fast and
Externí odkaz:
https://doaj.org/article/a74fc7e63a864ec7a8da53daa020d665
Autor:
Piergiorgio Alotto, Gabriele Maria Lozito, Maurizio Repetto, Antonio Savini, Raffaele Martone, Maria Evelina Mognaschi, Paolo Di Barba, Alessandro Salvini, Alessandro Formisano
Purpose Inverse problems in electromagnetism, namely, the recovery of sources (currents or charges) or system data from measured effects, are usually ill-posed or, in the numerical formulation, ill-conditioned and require suitable regularization to p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f4a7f1535b3b649eeccf28b117102acd
http://hdl.handle.net/11591/466714
http://hdl.handle.net/11591/466714
Publikováno v:
Solar Energy. 163:526-536
In this paper the current-voltage characteristics of organic solar cells (OSC) is analyzed in terms of equivalent lumped parameter circuit at different level of insolation. In particular, starting from a circuital model based on a three-diode configu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b67e301100dc6aa056be207c3087721a
https://doi.org/10.1016/j.solener.2018.02.032
https://doi.org/10.1016/j.solener.2018.02.032