AI helps map the grid, cut losses and modernise power distribution

Electric power distribution networks form the final link between electricity generation systems and end consumers. These networks include transformers, feeders, substations, and transmission lines that deliver electricity to households, industries, and commercial establishments. In many regions, especially in developing countries, distribution infrastructure has grown incrementally over several decades. As a result, utilities often lack accurate and up-to-date digital maps of their network topology.

This lack of visibility makes it difficult for utilities to identify inefficiencies, detect faults, or reduce energy losses. Power distribution systems typically experience two major types of losses: technical losses and commercial losses. Technical losses occur due to electrical resistance in wires, overloaded transformers, and inefficient equipment. Commercial losses, on the other hand, arise from issues such as electricity theft, faulty meters, or billing errors. Together, these losses—often referred to as Aggregate Technical and Commercial (AT&C) losses—can significantly impact the financial health of power utilities.

For additional context and detailed documentation of this use case, please refer to pages 25-27 in the attached Casebook.