Gen AI-Enabled Interactive Q&A Interface for Smart Metering

A leading electricity distribution company in the Middle East is revolutionizing its operations by leveraging advanced AI solutions to enhance efficiency and data-driven decision-making. The Gen AI-Enabled Interactive Q&A Interface is a state-of-the-art platform designed to simplify the complexities of smart metering by allowing users to query data directly and receive precise, context-aware insights in...

Identifying Source of Supply for Smart Meters via Smart Meter data

For a utility as expansive as a large electricity distribution company in Middle East, accurate mapping of the source of supply and establishing connectivity between consumer meters with distribution transformer is a foundational requirement. This critical task ensures that the GIS database accurately reflects real-world network configurations. Errors in this mapping can lead to inefficiencies...

Empowering Utilities with Transformer Load Monitoring

Transformers are critical assets in the distribution network, ensuring the seamless delivery of electricity to consumers. However, without accurate monitoring, underloaded or overloaded transformers can lead to inefficiencies, increased operational costs, or even catastrophic failures. Recognizing this, A large electricity distribution company in the Middle East partnered with Abjayon to develop an advanced transformer load...

AI Driven Consumption Anomaly Detection For Smart Meter Data

In today’s utility landscape, detecting consumption anomalies is essential for enhancing operational efficiency, protecting revenue, and strengthening customer trust. The Consumption Anomaly Detection initiative was developed to achieve these goals by leveraging advanced AI and machine learning (ML) models. This project has revolutionized how a major electricity distribution company in the Middle East identifies and...

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