Predictive monitoring and Performance Optimization.

Predictive AGL Solar Monitoring uses advanced analysis tools based on machine learning methods and our many years of experience in operating various types of solar photovoltaic power plants.

Input data is a time series of operational data from inverters, charging controllers and batteries, lighting and weather sensors, which provides a basic monitoring system for predictive analysis.

An important parameter is the estimation of future production based on weather forecast, power plant status and historical operating data. This estimation can be used both to identify failures in predictive monitoring and, on the other hand, by the investor for other purposes.

The system can identify substandard behavior and increased risk of failure of power plant components. The recommendations of the predictive monitoring system are then assessed by the technician, who proposes to the plant operator a proactive intervention on site with possible repair or replacement of the risk component. The purpose of the service is to optimize production by eliminating the probable cause of the malfunction before the failure occurs.