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Conference Paper/Proceeding/Abstract 676 views 173 downloads

Power Generation Voting Prediction Model of Floating Photovoltaic System

Ali Lari, Augustine Egwebe Orcid Logo, Farid Touati, Antonio S. Gonzales, Amith Abdullah Khandakar

2021 International Conference on Engineering and Emerging Technologies (ICEET)

Swansea University Authors: Ali Lari, Augustine Egwebe Orcid Logo

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DOI (Published version): 10.1109/iceet53442.2021.9659661

Published in: 2021 International Conference on Engineering and Emerging Technologies (ICEET)
ISBN: 978-1-6654-2715-9 978-1-6654-2714-2
ISSN: 2409-2983
Published: IEEE 2022
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URI: https://cronfa.swan.ac.uk/Record/cronfa59221
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first_indexed 2022-01-20T16:08:47Z
last_indexed 2022-02-02T04:29:15Z
id cronfa59221
recordtype SURis
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spelling 2022-02-01T14:35:00.0445485 v2 59221 2022-01-20 Power Generation Voting Prediction Model of Floating Photovoltaic System bf5a7925b138289abb625cc0a580519c Ali Lari Ali Lari true false d5ffa623b56e225005868c183357e133 0000-0001-6478-1203 Augustine Egwebe Augustine Egwebe true false 2022-01-20 FGSEN Conference Paper/Proceeding/Abstract 2021 International Conference on Engineering and Emerging Technologies (ICEET) IEEE 978-1-6654-2715-9 978-1-6654-2714-2 2409-2983 5 1 2022 2022-01-05 10.1109/iceet53442.2021.9659661 COLLEGE NANME Science and Engineering - Faculty COLLEGE CODE FGSEN Swansea University 2022-02-01T14:35:00.0445485 2022-01-20T16:02:24.6607028 Faculty of Science and Engineering School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering Ali Lari 1 Augustine Egwebe 0000-0001-6478-1203 2 Farid Touati 3 Antonio S. Gonzales 4 Amith Abdullah Khandakar 5 59221__22263__09f15d1d2ae04e6ea27c437938d89d91.pdf 59221.pdf 2022-01-31T17:33:54.8008478 Output 1550650 application/pdf Accepted Manuscript true true eng
title Power Generation Voting Prediction Model of Floating Photovoltaic System
spellingShingle Power Generation Voting Prediction Model of Floating Photovoltaic System
Ali Lari
Augustine Egwebe
title_short Power Generation Voting Prediction Model of Floating Photovoltaic System
title_full Power Generation Voting Prediction Model of Floating Photovoltaic System
title_fullStr Power Generation Voting Prediction Model of Floating Photovoltaic System
title_full_unstemmed Power Generation Voting Prediction Model of Floating Photovoltaic System
title_sort Power Generation Voting Prediction Model of Floating Photovoltaic System
author_id_str_mv bf5a7925b138289abb625cc0a580519c
d5ffa623b56e225005868c183357e133
author_id_fullname_str_mv bf5a7925b138289abb625cc0a580519c_***_Ali Lari
d5ffa623b56e225005868c183357e133_***_Augustine Egwebe
author Ali Lari
Augustine Egwebe
author2 Ali Lari
Augustine Egwebe
Farid Touati
Antonio S. Gonzales
Amith Abdullah Khandakar
format Conference Paper/Proceeding/Abstract
container_title 2021 International Conference on Engineering and Emerging Technologies (ICEET)
publishDate 2022
institution Swansea University
isbn 978-1-6654-2715-9
978-1-6654-2714-2
issn 2409-2983
doi_str_mv 10.1109/iceet53442.2021.9659661
publisher IEEE
college_str Faculty of Science and Engineering
hierarchytype
hierarchy_top_id facultyofscienceandengineering
hierarchy_top_title Faculty of Science and Engineering
hierarchy_parent_id facultyofscienceandengineering
hierarchy_parent_title Faculty of Science and Engineering
department_str School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Aerospace, Civil, Electrical, General and Mechanical Engineering - Electronic and Electrical Engineering
document_store_str 1
active_str 0
published_date 2022-01-05T04:16:22Z
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