At Cogniwave Dynamics, we support energy sector players in leveraging industrial data, optimizing infrastructures, and anticipating critical events. Our solutions rely on time series models, embedded machine learning, industrial vision, and numerical simulation deployed in highly constrained environments (IoT, real-time, OT/IT security).
Key use cases:
Predictive Maintenance & Asset Supervision:
- Early detection of equipment anomalies using advanced time series models.
- Automatic diagnostics of incidents from sensor logs and images (thermography, endoscopy, vibration)
Production & Network Optimization:
- Multi-horizon energy forecasting.
- Multi-energy dispatch optimization (gas, hydro, solar, wind).
Energy Transition & Carbon Management:
- Simulation of energy impacts from new industrial scenarios using AI-powered digital twins.
- Anomaly detection in value chains (leaks, network losses, abnormal consumption).
Industrial Guarantees:
- AI deployable in edge computing, industrial cloud, or secure SCADA/IoT platforms.
