Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Francesco De Lia"'
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
Autor:
Antonino Laudani, Martina Radicioni, Riccardo Schioppo, Mario Tucci, Francesco De Lia, Roberto Lo Presti, Gabriele Maria Lozito, Francesco Riganti Fulginei, Valentina Lucaferri
Publikováno v:
Energies, Vol 14, Iss 707, p 707 (2021)
Energies; Volume 14; Issue 3; Pages: 707
Energies; Volume 14; Issue 3; Pages: 707
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://explore.openaire.eu/search/publication?articleId=doi_dedup___::d8910f139303bfe2c563072c7944cf37
https://www.mdpi.com/1996-1073/14/3/707
https://www.mdpi.com/1996-1073/14/3/707
Publikováno v:
2019 IEEE 46th Photovoltaic Specialists Conference (PVSC).
In this work different management strategies for Electrical Energy Storage Systems (EESS) have been modeled in the ENEA’s Simulator Plant and subsequently tested on field in the PV Plant. The Plant (12 kWp, 12 kWh) is equipped with ABB REACT1 syste
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c1b2e9beddb00f97c69d2942bb073ca9
https://doi.org/10.1109/pvsc40753.2019.8980659
https://doi.org/10.1109/pvsc40753.2019.8980659
Publikováno v:
Applied Energy. 275:115363
The performance of photovoltaic (PV) module arrays versus time is currently modeled by using linear functions of time having different slopes in consecutive time intervals. Slopes are denoted as degradation rates and used to express array-performance
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0788d61c6c2a4714ebefd7392c28ca7c
https://doi.org/10.1016/j.apenergy.2020.115363
https://doi.org/10.1016/j.apenergy.2020.115363
A new approach to model the efficiency degradation of PV arrays is presented and checked on an actual outdoor Si-module array, whose efficiency has been periodically measured for over 37 years. Two degradation mechanisms are hypothesized, one linear
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a8c7854c67d5b2a20c737bde37c0ece6
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059881707&doi=10.1109/PVSC.2018.8548234&partnerID=40&md5=1f805aa03b4aec45ab6a3a255c93618f
https://www.scopus.com/inward/record.uri?eid=2-s2.0-85059881707&doi=10.1109/PVSC.2018.8548234&partnerID=40&md5=1f805aa03b4aec45ab6a3a255c93618f
