Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review

Journal article

Peer reviewed

A Sohani, H Sayyaadi, C Cornaro, MH Shahverdian, Marco Pierro, David Moser, N Karimi, MH Doranehgard and LKB Li

Journal of Cleaner Production, Vol.364

364

15/06/2022

Handle:

https://hdl.handle.net/10863/24610

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url

http://dx.doi.org/10.1016/j.jclepro.2022.132701View

Title: Using machine learning in photovoltaics to create smarter and cleaner energy generation systems: A comprehensive review
Creators: A Sohani - University of Rome Tor Vergata
H Sayyaadi
C Cornaro
MH Shahverdian
Marco Pierro
David Moser
N Karimi
MH Doranehgard
LKB Li
Publication Details: Journal of Cleaner Production, Vol.364
ISSN: 0959-6526
Series / Volume: 364
Publisher: Elsevier BV
Identifiers: (EURAC)25580166
991006419597901241
Web of Science ID: WOS:000880854200004
Academic Unit: Institute for Renewable Energy
Language: English
Resource Type: Journal article
Description coverage: international
Description audience: Scientific
Local Fields: Scientific
Author Names String: Sohani A, Sayyaadi H, Cornaro C, Shahverdian MH, Pierro M, Moser D, Karimi N, Doranehgard MH, Li LKB

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