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OSeMOSYS vs MUSE Models in long-term energy planning. A case study of DRC power sector

Year: 2026

Type: article

Abstract: This upload contains the OSeMOSYS and MUSE model files developed for analyzing long-term power-sector pathways in the Democratic Republic of the Congo. The models are used to explore how different planning assumptions and investor behaviors influence electrification, technology deployment, and low-carbon transition outcomes.

Source: Zenodo (CERN European Organization for Nuclear Research)

DOI: 10.5281/zenodo.19205491

Authors: KOSHIKWINJA MATABISHI, Pacifique, CAVANA, Marco, LEONE, Pierluigi

Institutions: Politecnico di Torino, Université Catholique de Bukavu

Language: English

Topic: Integrated Energy Systems Optimization

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Industry, innovation and infrastructure, Affordable and clean energy, Climate action

Open Access status: green

OpenAlex ID: W7140208432

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