Spatial Analysis of Electrical Power Consumption Patterns of Unmetered Customers in Agboju, Lagos State

Abstract

Using geospatial techniques, this study investigates the electrical energy 
consumption patterns of unmetered Eko Electricity Distribution Company 
(EKEDC) customers that receive energy from a 500kvA public distribution 
transformer in Agboju, Lagos State. The study identified and mapped all the 
electrical infrastructure within the study area and classified the unmetered 
customers by level of energy consumption as well as land use and revenue 
collection efficiency. It also analysed the energy consumption patterns in 
kilowatt-hour of unmetered customers and ultimately determined the priority 
for metering within the study area. Alongside Spatial Inequality Theory, 
studies from previous research were reviewed in order to provide a wholesome 
understanding of discussions in the electricity consumption space. Fieldwork 
was conducted to collect spatial data on buildings and electrical infrastructures. 
The secondary data on energy consumption was sourced from EKEDC. The 
study adopted a quantitative methodology, with spatial autocorrelation 
technique utilized to determine spatial associations in energy billing and 
revenue collections of the unmetered customers. To determine metering 
priority, the researchers used an ordinal scale of measurements to categorise 
the customers from A to H. None of the unmetered customers made Category 
A and only six customers made Category B. The study concludes that spatial 
patterns in energy consumption or revenue collection efficiency are random, 
given the results of the spatial autocorrelation analysis. Thus, electricity 
distribution organizations can maximize revenue by strategically prioritizing 
meter deployment in high-potential locations through thorough evaluation and 
mapping of unmetered consumers.