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validated using measured data from 13 households in Kenya. Results show that the methodology is able to compute the load … geospatially for households in Kenya. …
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The survey provided data on rural household energy use and expenditures, use by rural households of electricity from the grid, and use by rural households of off-grid electricity. The survey also provided information for an analysis of the economic benefits from electricity use in rural areas in...
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Improving electricity access in low-income countries is a challenging problem because of the high costs of grid extension and low demand for grid electricity in rural areas. This study elucidates these constraints by analyzing poor households' willingness-to-pay for different types of...
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Three typical rural villages are chosen as study areas to study the different effects of main influence factors on rural household energy consumption using the ordinary least squares (OLS) model and the quantile regression (QR) model. Three typical rural villages include an affluent rural...
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