Renewable energy · Photovoltaics · EU
PV plant monitoring with anomaly detection
The starting situation
Inverter data is spread across different portals for each plant. Anomalies — power drops, defects, weak strings — are often only noticed during month-end reporting. Yield losses quietly accumulate in the background.
How we solve it
We build a central dashboard that consolidates inverter and sensor data. Anomaly detection flags unusual patterns per string and plant almost in real time, while forecasting models define expected yields based on weather and plant size. Alerts run via email or Teams.
What you get
Issues are detected in hours instead of weeks. One interface replaces portal hopping, yield losses are quantified and weighed against maintenance costs — a basis for O&M-as-a-Service offerings or ISO 50001 reporting.
Do you recognise a similar process in your company?
If this use case feels close to your daily work, we can assess data availability, effort and a realistic first MVP together.
Why AI projects work →This use case is based on a real client project. Sector and region are named, the company itself remains anonymous.