Eneryield's IntelliView utilizes sensorless explainable AI (XAI) to predict power grid faults by analyzing data from existing power meters, enabling proactive maintenance and minimizing the risk of outages. This technology significantly reduces downtime by up to 67% and lowers operational costs by 10-20%, ensuring reliable energy infrastructure.
Funding
$2M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Power grids are susceptible to faults that can lead to downtime, structural damage, and high operational costs. Current methods for predicting these faults often require additional hardware and may not provide sufficient lead time for proactive maintenance. This can result in unexpected outages and increased expenses for energy providers.
Solution
Eneryield offers IntelliView, a sensorless explainable AI (XAI) solution that predicts power grid faults by analyzing data from existing power meters and metric systems. The XAI accurately forecasts faults with precision, providing explanations of the predicted fault type, root cause, location, and estimated time of occurrence. This enables proactive maintenance, minimizing damage and extending the lifespan of grid components. IntelliView integrates directly into existing systems, providing an intuitive warning system for critical locations and timeframes.
Target Audience
The primary target audience includes electric power systems companies with overhead lines, underground cables, and underwater cables.
Features
- Sensorless XAI-based fault prediction and analytics
- Automatic ranking of critical locations and fault probabilities
- Root cause identification and fault localization
- Integration with existing power meter systems
- Customizable IT security solutions tailored to data needs
- Web dashboard for real-time monitoring and alerts
- Energy loss estimation and grid health assessment