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Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning

Juan F. Pérez-Pérez, Isis Bonet Cruz, María Solange Sánchez-Pinzón, Fabio Caraffini Orcid Logo, Christian Lochmuller

2023 IEEE International Symposium on Technology and Society (ISTAS)

Swansea University Author: Fabio Caraffini Orcid Logo

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DOI (Published version): 10.1109/istas57930.2023.10306196

Published in: 2023 IEEE International Symposium on Technology and Society (ISTAS)
ISBN: 979-8-3503-2487-7 979-8-3503-2486-0
ISSN: 2158-3404 2158-3412
Published: IEEE 2023
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URI: https://cronfa.swan.ac.uk/Record/cronfa65823
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first_indexed 2024-03-12T13:27:39Z
last_indexed 2024-03-12T13:27:39Z
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spelling v2 65823 2024-03-12 Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning d0b8d4e63d512d4d67a02a23dd20dfdb 0000-0001-9199-7368 Fabio Caraffini Fabio Caraffini true false 2024-03-12 SCS Conference Paper/Proceeding/Abstract 2023 IEEE International Symposium on Technology and Society (ISTAS) IEEE 979-8-3503-2487-7 979-8-3503-2486-0 2158-3404 2158-3412 Climate transition risk; climate risk; artificial intelligence; machine learning; deep learning; forecast 7 11 2023 2023-11-07 10.1109/istas57930.2023.10306196 COLLEGE NANME Computer Science COLLEGE CODE SCS Swansea University 2024-04-15T14:49:08.9639030 2024-03-12T13:20:26.8933705 Faculty of Science and Engineering School of Mathematics and Computer Science - Computer Science Juan F. Pérez-Pérez 1 Isis Bonet Cruz 2 María Solange Sánchez-Pinzón 3 Fabio Caraffini 0000-0001-9199-7368 4 Christian Lochmuller 5
title Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
spellingShingle Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
Fabio Caraffini
title_short Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
title_full Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
title_fullStr Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
title_full_unstemmed Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
title_sort Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
author_id_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb
author_id_fullname_str_mv d0b8d4e63d512d4d67a02a23dd20dfdb_***_Fabio Caraffini
author Fabio Caraffini
author2 Juan F. Pérez-Pérez
Isis Bonet Cruz
María Solange Sánchez-Pinzón
Fabio Caraffini
Christian Lochmuller
format Conference Paper/Proceeding/Abstract
container_title 2023 IEEE International Symposium on Technology and Society (ISTAS)
publishDate 2023
institution Swansea University
isbn 979-8-3503-2487-7
979-8-3503-2486-0
issn 2158-3404
2158-3412
doi_str_mv 10.1109/istas57930.2023.10306196
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 Mathematics and Computer Science - Computer Science{{{_:::_}}}Faculty of Science and Engineering{{{_:::_}}}School of Mathematics and Computer Science - Computer Science
document_store_str 0
active_str 0
published_date 2023-11-07T14:49:05Z
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score 11.014358

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