Conference Paper/Proceeding/Abstract 36 views
Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
Juan F. Pérez-Pérez,
Isis Bonet Cruz,
María Solange Sánchez-Pinzón,
Fabio Caraffini 
,
Christian Lochmuller
,
Christian Lochmuller
2023 IEEE International Symposium on Technology and Society (ISTAS)
Swansea University Author:
Fabio Caraffini
Full text not available from this repository: check for access using links below.
DOI (Published version): 10.1109/istas57930.2023.10306196
Abstract
Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
| 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
|
| Online Access: |
Check full text
|
| URI: | https://cronfa.swan.ac.uk/Record/cronfa65823 |
| Tags: |
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| Keywords: |
Climate transition risk; climate risk; artificial intelligence; machine learning; deep learning; forecast |
|---|---|
| College: |
Faculty of Science and Engineering |