PV management

Multi-brand inverters monitoring

Multibrand PV inverters solution

Real-time graphs and analysis

Predictive Maintenance

Maintenance tickets

Monitor the correct functioning of PV systems, manage tickets and requests for assistance and receive precise analyzes of self-consumption.

Features

REMOTE CONTROL

Operators could monitor PV inverters and adjust settings for optimal energy production, and manage shading or cleaning schedules without being on-site.

PREDICTIVE MAINTENANCE

Predict and plan panel maintenance before inefficiencies arise, for example by identifying when panels are likely to need cleaning due to dust build-up.

DASHBOARD

Visualize real-time and historical data on energy production, panel efficiency, and environmental factors, assisting in maximizing energy output and system health.

CUSTOMER ENGAGEMENT

Improve employee engagement by using interactive tools to gauge workplace satisfaction, streamline communication, and respond to their feedback and needs promptly.

Operation
monitoring

Entering personal data for each system installed, technical information and documents.

Sending alerts

and
tickets

Generation of assistance tickets when anomalous data is detected

Predictive analysis of operation

Thanks to the data, the AI algorithm can predict malfunctions before they happen

Inverter
management

Thanks to the installation of our partner power meters, you can manage any brand of inverter

Real-time data and analysis

via web platform

The world of renewable energy is growing rapidly and the management of photovoltaic systems is becoming increasingly fundamental to offer a complete service to customers.

To optimize the functioning of these renewable energy sources, advanced monitoring tools are needed that allow precise and immediate interventions if the systems need maintenance.

For this reason, the real-time monitoring platform for data from photovoltaic systems was created.

The solution for multibrand

PV installersPV companies

Thanks to the analysis of big data from IoT devices and the use of Artificial Intelligence, our platform helps energy professionals monitor the correct functioning of systems, manage tickets and requests for assistance and precise analyzes of self-consumption.

Estimated daily monthly

performance

One of the most important and useful features is the calculation of the estimated yield of each individual photovoltaic system.

Thanks to IoT devices and Machine Learning technology, recorded data is analyzed to make predictions. The estimated data is compared with the actual data and becomes a useful tool for activating automatic alert procedures, management of anomalies and tickets.