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
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What we do


Fault forecasting

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 and analytics

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.

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Our product
Interactive GUI.


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.

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13th September 2022

Eneryield in Techstars Alabama EnergTech 2022

Eneryield participates in the Techstars Alabama EnergTech accelerator

4th July 2022

Welcome to our new team member Fredrik Kjernald!

Machine Learning Engineer at Eneryield, with a background in Engineering Mathematics and Computational Science

9th March 2022

Eneryield and Unipower offer ML-based fault prediction

In collaboration with Unipower, Eneryield offers ML-based fault prediction, enabling a proactive approach to utility management

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