Datasets to Train Generative AI for Non-Revenue Water Management
Non-Revenue Water (NRW)—water lost before it reaches consumers due to leaks, theft, or metering inaccuracies—is a significant challenge for water utilities worldwide. Generative AI models, such as Generative Adversarial Networks (GANs) and Variational Autoencoders (VAEs), have shown immense potential in addressing NRW challenges by simulating water distribution networks, predicting leaks, and optimizing infrastructure. However, training […]
