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June 11, 2023Open Access

Methodological Evaluation and Time-Series Forecasting for Power-Distribution Risk Reduction in Ghana, 2000–2026

Ama Serwaa Mensah Kwame Asante

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Key Points

The aim is to evaluate power-distribution systems and develop a forecasting model to determine risk reduction over time.
Conducted a methodological evaluation of system components.
Developed a SARIMA forecasting model using historical fault-interval data.
Quantified forecast uncertainty with 95% prediction intervals.
Identified transformer ageing as a major risk factor.
Forecasting model predicts a 22% reduction in fault frequency over the forecast period.
Estimates show robustness against seasonal fluctuations.

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Implication

This report evaluates equipment systems and forecasts risk reduction in power distribution, suggesting infrastructure investment strategies.

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Cite This Study

Mensah et al. (2023) studied this question.

synapsesocial.com/papers/69b3ac7002a1e69014cce15b https://doi.org/10.5281/zenodo.18969873

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Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

1A Time-Series Forecasting Model for Risk Reduction in Nigerian Power-Distribution Equipment: A Policy Analysis for Asset Management (2000–2026)Original Research · 2021
2Methodological Evaluation and Time-Series Forecasting for Power-Distribution System Reliability in Rwanda, 2000–2026Original Research · 2006
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4Methodological Evaluation and Time-Series Forecasting for Efficiency Gains in Senegal's Power-Distribution InfrastructureOriginal Research · 2008
5Comparative Methodological Evaluation and Time-Series Forecasting for Cost-Effectiveness in Rwanda's Power-Distribution Infrastructure (2000–2026)Original Research · 2018

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