{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,30]],"date-time":"2024-10-30T08:31:30Z","timestamp":1730277090773,"version":"3.28.0"},"reference-count":39,"publisher":"IEEE","license":[{"start":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T00:00:00Z","timestamp":1694563200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2023,9,13]],"date-time":"2023-09-13T00:00:00Z","timestamp":1694563200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023,9,13]]},"DOI":"10.1109\/istas57930.2023.10306196","type":"proceedings-article","created":{"date-parts":[[2023,11,7]],"date-time":"2023-11-07T13:55:50Z","timestamp":1699365350000},"page":"1-8","source":"Crossref","is-referenced-by-count":0,"title":["Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning"],"prefix":"10.1109","author":[{"given":"Juan F.","family":"P\u00e9rez-P\u00e9rez","sequence":"first","affiliation":[{"name":"EIA University,Dept. of Engineering and Basic Sciences,Envigado,Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Isis Bonet","family":"Cruz","sequence":"additional","affiliation":[{"name":"EIA University,Dept. of Engineering and Basic Sciences,Envigado,Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Mar\u00eda Solange","family":"S\u00e1nchez-Pinz\u00f3n","sequence":"additional","affiliation":[{"name":"Vicepresidency of Sustainability, Grupo Nutresa,Medellin,Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Fabio","family":"Caraffini","sequence":"additional","affiliation":[{"name":"Swansea University,Dept. of Computer Science,Swansea,UK"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Christian","family":"Lochmuller","sequence":"additional","affiliation":[{"name":"EIA University,Dept. of Economic and Administrative Sciences,Envigado,Colombia"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"263","reference":[{"key":"ref13","doi-asserted-by":"crossref","first-page":"1013","DOI":"10.3390\/su8101013","article-title":"Development of a web-based tool for climate change risk assessment in the business sector","volume":"8","author":"kim","year":"2016","journal-title":"Sustainability"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1371\/journal.pone.0194889"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.3389\/fmars.2016.00265"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.18178\/ijmlc.2017.7.5.632"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1016\/j.jclepro.2014.09.086"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.3386\/w28525"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3324499"},{"key":"ref36","first-page":"56","author":"for international settlements","year":"2021","journal-title":"Climate-related financial risks - measurement methodologies"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/KPEC47870.2020.9167596"},{"key":"ref30","article-title":"Machine learning-based time series models for effective co2 emission prediction in india","author":"singh","year":"2022","journal-title":"Environmental Science and Pollution Research"},{"key":"ref11","first-page":"118","article-title":"Metodolog´?a de an´alisis de adaptaci´on al cambio clim´aticode infraestructuras de transporte","volume":"197","author":"garc\u00b4?a","year":"2021","journal-title":"Revista Digital del Cedex"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1063\/5.0083533"},{"key":"ref10","doi-asserted-by":"publisher","DOI":"10.2139\/ssrn.3957900"},{"key":"ref32","article-title":"Walmart sales prediction using machine learning algorithms","author":"shyamala","year":"2021","journal-title":"Annals of R S C B"},{"key":"ref2","article-title":"Climate change, credit risk and financialstability","author":"oguntuase","year":"2020","journal-title":"Banking and Finance"},{"key":"ref1","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/j.crm.2014.02.003","article-title":"What is climate risk management?","volume":"1","author":"travis","year":"2014","journal-title":"Climate Risk Management"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.17213\/2312-6469-2019-2-224-241"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.5772\/intechopen.97452"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.5194\/gmd-12-3085-2019"},{"key":"ref38","first-page":"31","author":"campiglio","year":"2019","journal-title":"Climaterisks in financial assets"},{"key":"ref19","first-page":"156","author":"authority","year":"2021","journal-title":"Unep fi's comprehensive good practice guide to climate stress testing"},{"key":"ref18","article-title":"Does the cds market reflect regulatory climate risk disclosures?","author":"kolbellbel","year":"2020","journal-title":"SSRN Electronic Journal"},{"key":"ref24","article-title":"Short-term electricity generation forecasting using machine learningalgorithms: A case study of the benin electricity community(c.e.b)","volume":"1","year":"0","journal-title":"TH Wildau Engineering and Natural Sciences Proceedings"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"16901","DOI":"10.1007\/s00521-018-03979-9","article-title":"Intelligentpredicting of salt pond's ion concentration based on supportvector regression and neural network","volume":"32","author":"liu","year":"2020","journal-title":"Neural Computing AndApplications"},{"key":"ref26","article-title":"House price prediction using gradient boost regression model","author":"kumar","year":"2020","journal-title":"International Journal of Research and Analytical Reviews"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1007\/s00704-019-03048-8"},{"key":"ref20","article-title":"The 2023 climate risk landscape","author":"fi","year":"2023","journal-title":"AIP Conference Proceedings"},{"journal-title":"Deep Learning for Time Series Forecasting Predict the Future With MLPs CNNs and LSTMs in Python","year":"2019","author":"brownlee","key":"ref22"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1155\/2020\/8049504"},{"key":"ref28","article-title":"Calorie burn prediction analysis using xgboost regressor and linear regression algorithms","author":"vinoy","year":"2022","journal-title":"Proceedings of the National Conference on Emerging Computer Applications"},{"key":"ref27","article-title":"Kitlesel degerlemede makine Ogrenme: Rasgele orman regresyonu","author":"sevgen","year":"2020","journal-title":"Bilis?im Teknolojileri Dergisi"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1016\/j.procs.2021.01.020"},{"key":"ref8","first-page":"38","author":"godin","year":"2020","journal-title":"Demand-induced transition risks A systemic approach applied to south africa"},{"journal-title":"Blackrock investment stewardship's approach to engagement on the tcfd and the sasb aligned reporting","year":"2020","key":"ref7"},{"key":"ref9","first-page":"166","author":"authority","year":"2021","journal-title":"Eba report on management and supervision of esg risks for credit institutions and investment firms"},{"journal-title":"Final report recommendations of the task force on climate-related financialdisclosures","year":"2017","key":"ref4"},{"journal-title":"Task force climate-related financial disclosures oveview","year":"2020","key":"ref3"},{"journal-title":"ECB report on good practices for climate stress testing","year":"2022","key":"ref6"},{"key":"ref5","doi-asserted-by":"crossref","first-page":"177","DOI":"10.1016\/j.ecolecon.2019.05.012","article-title":"Uncertainty of climate policies and implications for economics and finance: An evolutionary economics approach","volume":"163","author":"monasterolo","year":"2019","journal-title":"Ecological Economics"}],"event":{"name":"2023 IEEE International Symposium on Technology and Society (ISTAS)","start":{"date-parts":[[2023,9,13]]},"location":"Swansea, United Kingdom","end":{"date-parts":[[2023,9,15]]}},"container-title":["2023 IEEE International Symposium on Technology and Society (ISTAS)"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx7\/10305708\/10305722\/10306196.pdf?arnumber=10306196","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,1,15]],"date-time":"2024-01-15T15:53:41Z","timestamp":1705334021000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10306196\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,9,13]]},"references-count":39,"URL":"https:\/\/doi.org\/10.1109\/istas57930.2023.10306196","relation":{},"subject":[],"published":{"date-parts":[[2023,9,13]]}}}