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.
MATABISHI et al. (Tue,) studied this question.