As energy demands continue to rise, utility companies face dual challenges: managing grid reliability and empowering consumers with actionable information about their consumption. For a large electricity distribution company in Middle East, the absence of an advanced load forecasting system created gaps in planning and consumer engagement. Recognizing this, the company partnered with Abjayon to...
As utilities embrace digital transformation, smart meter analytics has become a cornerstone of modern energy management. A leading electricity distribution company in the Middle East is leveraging advanced analytics and AI-powered platforms to optimize its operations and enhance customer engagement. Please read the full report below: Download PDF
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...
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...
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...
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...
As energy utilities adopt smart metering, the ability to extract granular insights from consumption data has expanded significantly. For a major electricity distribution company in the Middle East, understanding how individual appliances contribute to overall energy consumption at the consumer level has become a key priority. Non-Intrusive Load Disaggregation (NILM) offers an innovative solution to...