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Presentation . 2026
License: CC BY
Data sources: Datacite
ZENODO
Presentation . 2026
License: CC BY
Data sources: Datacite
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Geospatial Modeling for Electrification Planning in the Democratic Republic of the Congo Using OnSSET

Authors: MULUNGO, ELISE; KALALIZI, DANIEL;

Geospatial Modeling for Electrification Planning in the Democratic Republic of the Congo Using OnSSET

Abstract

This report constitutes the outcome of a three-week capacity-building activity on GEP-OnSSET as part of the 2025 Energy Modelling Platform for Africa workshop. The author(s) collected input data, set parameters, calibrated the model, and ran electrification investment scenarios for the Democratic Republic of Congo in order to explore pathways leading to the achievement of electrification targets. The results of this analysis are not conclusive but rather the output of experimentation with the model and thus only indicative. You may contact the author for more information and/or questions about the methodology, limitations, and follow-up activities of this study.

Keywords

DRC, Democratic Republic of Congo, GEP, ONSSET

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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