Empowering your grid transformation with advanced digital and asset management solutions.
EGI empowers system operators to embrace the digital transition through new business capabilities and advanced grid intelligence. Our digitalisation solutions enable smarter, faster, and more coordinated decision-making across the energy value chain.
We help clients design, assess, and validate new business capabilities that unlock digital transformation and drive operational excellence. Through the adoption of digital tools, services, and data management strategies, we address data bottlenecks and foster a seamless flow of information across systems.
Our approach focuses on enabling coordinated grid operations through a federated common data environment, ensuring all stakeholders work from a single source of truth. We harness the power of predictive and AI/ML-based analytics to strengthen foresight, boost efficiency, and enhance grid resilience. At the same time, we de-risk system implementation by modernising architectures for greater scalability, modularity, and interoperability—laying the foundation for a truly digital and future-ready power system.
These capabilities are brought to life through four key solutions:
Digital Asset Management Center
- Acquiring real-time operational and condition parameters of asset (temperature, moisture, gas analysis, vibrations, camera-visuals, etc.)
- Identifying trends, anomalies, and trigger alarms/actions before fault occurs
- Supporting in asset health condition scoring and maintenance decision making
Control Center of the Future
- Supervising real-time grid operations and dispatching based on SCADA and telemetry data
- Enabling safe, reliable, and optimal control of transmission & distribution networks with advanced applications
- Supporting operational decision-making through grid visualization, alarms and event-logs
Demand-Side Flex Integration & Management
- Integrating and aggregating demand-side assets into grid operations
- Behind-the-meter customer visibility, data aggregation and analytics
- Market operator platform design and engineering
Unified Data Framework
- Designing a canonical (common) data model to support information exchange
- Designing a unified data layer at lakehouse to ingest vendor system data for supporting advanced analytics
- Designing the governance and operating model for monitoring and scaling data model implementation and integration works