Machine Learning and AI-Based Random Forest Regression in Analyzing Climate Impacts on Economic Growth

Springer proceedings in physics 2026

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Authors: Amine Hmid, Redouane Kaiss, Ikram Eloucham, Said Saghir Zarouali, Rachid El Anbari
DOI: 10.1007/978-3-032-20151-5_19
Cited by: 1
References: 29

Fields of Study & Subjects

Energy Environment Economic Growth Sustainable Finance and Green Bonds Stock Market Forecasting Methods

Publication details

Journal / source
Springer proceedings in physics
Publisher
Springer Nature Switzerland
Pages
229–241
Publication date
1 January 2026
Language
EN