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, founded in 2019 by Johan Rådemar, Ebrahim Balouji (Ph.D, Ph.D) and Karl Bäckström (Ph.D.), has successfully raised seed funding from ABB and Chalmers Ventures to enhance their predictive technology for power outages. Read more (LinkedIn)
Marco Nunes, Global Grid EDGE & Cloud Manager at ABB Grid Components, joins Eneryield as a Board Member. Read more (LinkedIn)
Eneryield makes the the Swedish Climate Startup Map list that highlights startups and scaleups working on sustainable solutions to tackle climate challenges. Read more (LinkedIn)
