Datasets to Train Generative AI for Non-Revenue Water Management

example dataset format for nrw water leak detection

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

Generative AI in NRW water management

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, […]

Understand NRW and Reduce Water Losses with ThingsLog IoT Data Loggers

Reduce water losses with IoT data loggers

Non-Revenue Water (NRW) represents a significant challenge for water utilities worldwide. NRW refers to the water that has been produced but is lost before it reaches the customer due to leaks, theft, or metering inaccuracies. Effective monitoring and management of NRW is critical for both financial sustainability and resource conservation. This is where innovative solutions […]

EV charging monitoring

ev charging monitoring

One of the significant changes of the current grid networks is the addition of the EV (Electric Vehicles) charging stations. The charging stations typically has to bill the customer and provide information about the energy they give to the car. But they don’t really meter or monitor the energy that they actually consumed from the […]

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