Vol. 2003 No. 1 (2003)

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Methodological Assessment of Power-Distribution Equipment Systems in Rwanda Using Quasi-Experimental Design for Risk Reduction Evaluation

Uwamungu Kabirwa, African Leadership University (ALU), Kigali Hutsepo Habimana, Department of Electrical Engineering, University of Rwanda Kabeseza Ndayishimiye, Department of Civil Engineering, University of Rwanda
DOI: 10.5281/zenodo.18779321
Published: October 5, 2003

Abstract

Power distribution systems in Rwanda are critical for ensuring reliable electricity supply to urban and rural areas. However, there is a need to assess their effectiveness and identify potential risks. A quasi-experimental design was employed to analyse data from power distribution networks across different regions of Rwanda. This approach allowed for an assessment of system effectiveness without controlled experiments. The analysis revealed that the proportion of equipment failures in urban areas (75%) is significantly higher than in rural areas (30%), indicating a need for targeted interventions to reduce risks and improve reliability. This study highlights the importance of regional differences in power distribution system performance, underscoring the need for tailored risk reduction strategies. Investment should be prioritised in urban areas with higher failure rates, while monitoring rural networks to prevent future failures. Collaboration between government agencies and private sector stakeholders is essential for effective implementation. The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.

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How to Cite

Uwamungu Kabirwa, Hutsepo Habimana, Kabeseza Ndayishimiye (2003). Methodological Assessment of Power-Distribution Equipment Systems in Rwanda Using Quasi-Experimental Design for Risk Reduction Evaluation. African Civil Procedure, Vol. 2003 No. 1 (2003). https://doi.org/10.5281/zenodo.18779321

Keywords

RwandaGeographic Information Systems (GIS)Quasi-experimental designPower distribution systemsRisk assessmentNetwork analysisEmpirical research

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Vol. 2003 No. 1 (2003)
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