Development of an Advanced Smart Grid Data Analytics System for Utilities
The system must facilitate comprehensive data collection from smart meters, meters for balancing purposes, and sensors across the grid. It should support data processing, mathematical modeling, anomaly detection, and visualization. The platform must enable analysis of energy flows, identification of thefts, and performance monitoring of the distribution network, all through a user-friendly interface.
Cloud computing platforms to ensure scalability and cost efficiency, Analytics and visualization tools supporting complex queries and real-time dashboards, Machine learning frameworks to facilitate anomaly detection and predictive analytics...