Intelligent energy analytics.
AI-based technologies for electric power systems
- Fault forecasting
- Root cause identification of faults
- Fault localization
- Life-time estimation of assets
- Energy loss estimation
- Grid health assessment
AI-based technologies for electric power systems
Use ML-based solutions to predict incipient faults and failures in assets of electric power systems, e.g. in underground, underwater and overhead power lines and transformers.
Grid health assessment, root cause identification and localization of Power Quality problems, e.g. faults and failures.
AI-based solutions towards minimizing energy losses due to Power Quality problems.
Explore historical data and trends intuitively.
Access fine-grained AI-powered analytics and forecasts.
Access the underlying features in the data that trigger the forecast through state-of-art explainability.
Eneryield participates in the Techstars Alabama EnergTech accelerator
Machine Learning Engineer at Eneryield, with a background in Engineering Mathematics and Computational Science
In collaboration with Unipower, Eneryield offers ML-based fault prediction, enabling a proactive approach to utility management
