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 […]
Harnessing Generative AI for Non-Revenue Water Management: A Game-Changer for Water Utilities
Water utilities worldwide face the persistent challenge of Non-Revenue Water (NRW)—water that is lost before it reaches consumers due to leaks, theft, or metering inaccuracies. Reducing NRW is critical for ensuring sustainable water management, conserving resources, and improving operational efficiency. Recent advancements in generative artificial intelligence (AI), particularly its ability to work with time-series datasets, […]
