A large electricity distribution company in Middle East is on a mission to transform its utility operations through advanced analytics and AI-powered platforms. Several strategic projects ranging from peak load tracking and personalized energy tools to outage management have been implemented using SEC’s robust data platform, Impresa Insights. This paper explores three key initiatives Peak...
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...
A Large Electricity distribution Company in Middle East, continues to innovate by introducing cutting-edge solutions to streamline operations and enhance data-driven decision-making. The Gen AI-Enabled Interactive Q&A Interface is an advanced platform designed to address the operational complexities of smart metering by allowing users to query data directly and receive accurate, context-specific responses in real...
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 Middle East partnered with Abjayon to develop an advanced transformer load monitoring...
In today’s utility landscape, identifying consumption anomalies is critical for improving operational efficiency, safeguarding revenue, and enhancing customer trust. The Consumption Anomaly Detection initiative was designed to address these objectives by deploying advanced AI and machine learning (ML) models. This project transformed how a large Electricity distribution Company in the Middle East detects and manages...
As energy utilities embrace smart metering, the potential to derive granular insights from consumption data has grown exponentially. For tha large electricity distribution company in Middle East, understanding how individual appliances contribute to overall energy consumption at the consumer level has become a pivotal focus area. Non-Intrusive Load Disaggregation (NILM) provides a groundbreaking solution to...