Comparative models assess long-term electrification outcomes in the DRC power sector, indicating the impact of planning assumptions.
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.
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MATABISHI et al. (2026) studied this question.
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