UNDP

A mini-grid, also known as a micro-grid or isolated grid, represents an off-grid system that involves small-scale electricity generation ranging from ~10 kW to 10 MW, serving a limited number of consumers through a distribution grid capable of functioning independently from national electricity transmission networks. Essentially, a mini-grid comprises interconnected small-scale electricity generators linked to a distribution network that supplies power to a localised group of households, operating autonomously from the national transmission grid.

While inventories of large solar cell farms worldwide have been successfully compiled through similar efforts, and studies have showcased the feasibility of implementing small solar grids within European cities, work has yet to be undertaken on the African continent. The European models were not directly usable for two main reasons: it was built on high-resolution imagery from plane flyovers, and the context of the images was significantly different.

To address these challenges, we aimed to adapt these models to the African context and use transfer learning to train models initially created with high-resolution aerial imagery to work with lower-resolution satellite imagery, which is the most readily available and scalable option for Africa.

The first step in this endeavour is to evaluate the feasibility of such a project and learn as much as possible on a small scale. To accomplish this, an initial Proof-of-Concept (PoC) solution was developed, involving the creation of a machine learning classification model capable of identifying solar installations, including both mini-grids and solar farms, by analysing satellite imagery.

This preliminary phase serves to assess the viability of the project while also aiding in the identification of potential challenges or areas that require further analysis.