What question did this study set out to answer?

This research aims to analyze and forecast the adoption rates of power-distribution equipment in Ghana using time-series methods.

March 15, 2026Open Access

Time-Series Forecasting Model for Measuring Adoption Rates of Power-Distribution Equipment in Ghana

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Authors

AAAbena Owusu AmenuUniversity of Professional Studies

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Implication

Time-series analysis reveals strong correlations in power-distribution equipment adoption rates in Ghana, indicating optimal procurement timing for planners.

Key Points

This research aims to analyze and forecast the adoption rates of power-distribution equipment in Ghana using time-series methods.
Conducted time-series analysis with an autoregressive integrated moving average (ARIMA) model.
Incorporated seasonal adjustments in the forecasting process.
Used historical data from various regions of Ghana.
ARIMA model showed a strong correlation with actual adoption rates.
Coefficient of determination (R^2) for the forecasting period was 0.85, explaining 85% of variation.
The model proves effective in predicting future adoption trends.

Cite This Study

Abena Owusu Amenu (2013) studied this question.

synapsesocial.com/papers/69b606c483145bc643d1cf10 https://doi.org/10.5281/zenodo.18994415

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Implication

Time-series analysis reveals strong correlations in power-distribution equipment adoption rates in Ghana, indicating optimal procurement timing for planners.