Power-Distribution Equipment Systems in Uganda: Forecasting Risk Reduction Using Time-Series Models
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| Natura: | Recurso digital |
| Lingua: | inglese |
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Zenodo
2007
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| _version_ | 1866901706984390656 |
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| author | Kasozi, James Nabutano, Grace Okyere, Edward |
| author_facet | Kasozi, James Nabutano, Grace Okyere, Edward |
| contents | <p>Power distribution equipment (PDE) systems in Uganda are critical for ensuring reliable electricity supply to various sectors including agriculture and industry. A comprehensive analysis was conducted on existing PDE infrastructure in Uganda. Time-series forecasting models were employed to forecast risk reduction measures over the next five years. The model predicted an average reduction of 15% in power outages within two years, with a 95% confidence interval. Time-series models effectively predict risk reduction in PDE systems, offering a robust method for stakeholders to mitigate potential disruptions. Stakeholders should prioritise maintenance and upgrade of existing infrastructure based on the forecasted outcomes. Power Distribution Equipment Systems, Time-Series Forecasting, Risk Reduction, Engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18847484 |
| institution | Zenodo |
| language | eng |
| publishDate | 2007 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Power-Distribution Equipment Systems in Uganda: Forecasting Risk Reduction Using Time-Series Models Kasozi, James Nabutano, Grace Okyere, Edward African power distribution forecasting models time-series analysis risk assessment reliability engineering predictive maintenance geographic information systems <p>Power distribution equipment (PDE) systems in Uganda are critical for ensuring reliable electricity supply to various sectors including agriculture and industry. A comprehensive analysis was conducted on existing PDE infrastructure in Uganda. Time-series forecasting models were employed to forecast risk reduction measures over the next five years. The model predicted an average reduction of 15% in power outages within two years, with a 95% confidence interval. Time-series models effectively predict risk reduction in PDE systems, offering a robust method for stakeholders to mitigate potential disruptions. Stakeholders should prioritise maintenance and upgrade of existing infrastructure based on the forecasted outcomes. Power Distribution Equipment Systems, Time-Series Forecasting, Risk Reduction, Engineering The maintenance outcome was modelled as $Y_{it}=\beta_0+\beta_1X_{it}+u_i+\varepsilon_{it}$, with robustness checked using heteroskedasticity-consistent errors.</p> |
| title | Power-Distribution Equipment Systems in Uganda: Forecasting Risk Reduction Using Time-Series Models |
| topic | African power distribution forecasting models time-series analysis risk assessment reliability engineering predictive maintenance geographic information systems |
| url | https://doi.org/10.5281/zenodo.18847484 |