Power Forecasting of a Photovoltaic Plant Located in ENEA Casaccia Research Center

Autor: Martina Radicioni, Valentina Lucaferri, Francesco De Lia, Antonino Laudani, Roberto Lo Presti, Gabriele Maria Lozito, Francesco Riganti Fulginei, Riccardo Schioppo, Mario Tucci

Publikováno v: Energies, Vol 14, Iss 3, p 707 (2021)

This work proposes an Artificial Neural Network (ANN) able to provide an accurate forecasting of power produced by photovoltaic (PV) plants. The ANN is customized on the basis of the particular season of the year. An accurate analysis of input variab

Externí odkaz: https://doaj.org/article/9308ebf50421456aa08c829fddb53c3d

Parallel algorithm based on singular value decomposition for high performance training of neural networks

Autor: Martina Radicioni, Alessandro Salvini, Gabriele Maria Lozito, Francesco Riganti Fulginei, Valentina Lucaferri, Mauro Parodi

Publikováno v: Lecture Notes in Computer Science ISBN: 9783030227494
ICCS (5)

Neural Networks (NNs) are frequently applied to Multi Input Multi Output (MIMO) problems, where the amount of data to manage is extremely high and, hence, the computational time required for the training process is too large. Therefore, MIMO problems

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::773798d73d80e80a7218b5eb885e852e
https://www.springer.com/series/558

Equivalent Circuit Model for Cu(In,Ga)Se2 Solar Cells Operating at Different Temperatures and Irradiance

Autor: M. Bronzoni, Antonino Laudani, Valentina Lucaferri, S. Rampino, Gabriele Maria Lozito, Lorenzo Colace, Martina Radicioni, Andrea De Iacovo

Publikováno v: Electronics
Volume 7
Issue 11
Electronics (Basel) 7 (2018): 324-1–324-16. doi:10.3390/electronics7110324
info:cnr-pdr/source/autori:Bronzoni M.; Colace L.; De Iacovo A.; Laudani A.; Lozito G. M.; Lucaferri V.; Radicioni M.; Rampino S./titolo:Equivalent Circuit Model for Cu(In,Ga)Se2 Solar Cells Operating at Different Temperatures and Irradiance/doi:10.3390%2Felectronics7110324/rivista:Electronics (Basel)/anno:2018/pagina_da:324-1/pagina_a:324-16/intervallo_pagine:324-1–324-16/volume:7
Electronics, Vol 7, Iss 11, p 324 (2018)

The modeling of photovoltaic cells is an essential step in the analysis of the performances and characterization of PV systems. This paper proposes an experimental study of the dependence of the five parameters of the one-diode model on atmospheric c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5365221b7bdcf8c2f1ee3e8f56d64f60

An analytical approach for maximum power point calculation for photovoltaic system

Autor: Gabriele Maria Lozito, Valentina Lucaferri, Salvatore Coco, F. Riganti Fulginei, Martina Radicioni, Alessandro Salvini, Antonino Laudani

Publikováno v: ECCTD

The power generated by photovoltaic (PV) systems is highly dependent on operating and environmental conditions. In order to increase the efficiency of PV systems, several methods have been developed to track the maximum power point (MPP). This paper

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::626f2b2d9124bcc9c71f218d924f9956
http://hdl.handle.net/20.500.11769/366601