1. AI for Smart Metering and Grid Stability (MDMS Enhancement)
- Challenge: An energy distribution company was facing significant commercial losses due to unmetered consumption and struggled with data security when centralizing consumer information.
- Solution: We enhanced their existing Meter Data Management System (MDMS) with two key AI components: a machine learning model to detect anomalous consumption patterns indicative of theft, and a Federated Learning approach to train models on user data without compromising privacy.
- Outcome: Reduced commercial losses by ~2.5% and established a secure, privacy-preserving framework for data analytics, paving the way for future smart grid services.
2. Intelligent Traffic Management for a Megapolis
- Challenge: A major city was suffering from chronic traffic congestion, leading to increased travel times, pollution, and delayed emergency response.
- Solution: We deployed an Edge AI system across key intersections. The system uses computer vision to analyze traffic flow in real-time and dynamically adjusts traffic light signal patterns, prioritizing public transport and emergency vehicles.
- Outcome: Reduced average intersection delays by 25% during peak hours and improved emergency vehicle response times by 15%, creating a more fluid and efficient urban transport network.
3. Digital Twin for Sustainable Urban Planning
- Challenge: A city administration needed a tool to model the impact of new urban development projects and engage citizens in the planning process.
- Solution: We developed a Digital Twin of a city district, integrating data from GIS, IoT sensors, and public records. The platform allows planners to simulate scenarios (e.g., new transport lines, building construction) and visualize their impact on traffic, air quality, and public services. An interactive portal enables citizens to provide feedback and co-design their environment.
- Outcome: Provided a powerful, data-driven tool for strategic decision-making, increased transparency, and fostered a culture of co-creation between the city and its residents.