Code for Publication "Forecast on Africa's power production up to 2030 with related water use and CO2 emissions"

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Authors: Santiago Vaca, P.W. Gerbens-Leenes, Bunyod Holmatov, Raphael Vanham, Davy Vanham
Cited by: 1

Abstract

S.D. Vaca-Jiménez1,2, P.W. Gerbens-Leenes2, Bunyod Holmatov3, Raphael Vanham4, Davy Vanham3 1 Departamento de Ingeniería Mecánica, Escuela Politécnica Nacional, Ladrón de Guevara E11·253, 01-17-2759, Quito, Ecuador 2 Integrated Research on Energy, Environment and Society (IREES), University of Groningen, Groningen, The Netherlands 3 International Water Management Institute (IWMI), Colombo, Sri Lanka 4 Department of Mathematics, University of Innsbruck, Innsbruck, Austria This code has been developed for the paper Vaca-Jiménez et al (2026) Forecast on Africa’s power production up to 2030 with related water use and CO2 emissions. Nature communications. ARIMA (Autoregressive Integrated Moving Average) model Python code for time-series forecasting from 2023 until 2030. Please refer to published paper

Publication details

Journal / source
Zenodo (CERN European Organization for Nuclear Research)
Publication date
16 April 2026