How Utilities Can Use Machine Learning for Bad Debt Control

Bad debt control can be considered a use case under the umbrella of revenue protection. It can result in hard dollar value, making it easier to show the benefits of the project. Different types of revenue protection projects, such as power theft, unaccounted energy, fraud, and bad debt require different methods to identify the issues. The majority of approaches are rule based detections, however, others use machine learning models. For example, a machine learning model can be used to generate credit risk scores for customers.