Alarm Visualization and Assessment Tool (AVAT) N.D.A

The Problem

The prominent energy company in the United States faced a significant challenge in predicting electrical grid faults. With increasing demands on the grid and the complexity of energy distribution, anticipating potential issues became crucial to ensure grid reliability. The company required a solution capable of analyzing vast amounts of data to forecast faults proactively, preventing potential disruptions and ensuring uninterrupted energy supply to consumers.

Our Solution

Our solution was tailored to address the client's need for predicting electrical grid faults effectively. We developed a sophisticated data management and analysis system that leveraged a distributed architecture and advanced AI algorithms. Using Dagster for pipeline orchestration, we orchestrated the flow of data seamlessly, enabling efficient analysis. Custom Jupyter scripts facilitated real-time analysis of incoming data streams, providing timely insights into grid performance. Additionally, we implemented Grafana for automated report generation, enabling stakeholders to visualize and understand grid behavior effortlessly. By combining these technologies, we provided the client with a comprehensive solution focused on predicting potential issues and enhancing grid reliability.