Identify potential fraud from utility consumers

EDF Energy is testing automatic recognition of the figures on meter readings achieving 79% accuracy

Baltimore Gas and Electric generated $2.8 million in economic benefit from identifying fraud and unbilled energy usage with machine learning

Enel improved the average energy recovered per non-technical loss inspection by 70% in Italy and more than 300% in Spain using machine learning