1. How much energy did the home or building consume?
2. How much power was drawn from the grid, and what are the overall savings?

The system calculates how much CO₂ emissions your solar setup has reduced so far, and how much "green energy" it is contributing.

AI algorithms continuously analyze data patterns and send immediate alerts when a panel exhibits abnormal behavior.

Users receive notifications via the mobile app and email in all these situations.

1. Panel Fault
2. Inverter Failure
3. Temperature Limit Exceeded
4. Voltage Fluctuation
5. Internet Disconnection

An AI model predicts when a panel may fail or experience declining performance so that timely service can be performed.

The system integrates local weather data, i.e., cloud cover, temperature, wind speed, etc., and provides insight into how weather impacts production.

Data from past months and years can help you understand production patterns, for example, which months perform best.

If you have solar setups across multiple sites, you can view the status of all locations from a single dashboard.

1. Separate rights for admins, technicians, and end users
2. Secure login and audit logs

1. Android/iOS mobile app
2. Responsive web dashboard
3. Live graphs and animated visuals

For grid-connected systems, it monitors the power sent to and drawn from the grid in real time.

1. Cleaning the dust now will increase output by 5%.
2. Panel 3's performance is 8% lower than the rest, it needs to be checked.

IoT devices can be configured remotely, and firmware updates can be performed via the cloud.

All data is securely stored in the cloud, and the auto-backup feature prevents data loss during system downtime.

Not only is the entire system monitored, but the performance of each panel can be monitored individually, making it easier to understand which panel is weak.

In the absence of network connectivity, the device stores data locally and uploads it to the cloud when it regains internet.

The system can connect to other platforms (ERP, billing, SCADA, etc.), making energy management and reporting easier.

Users can set their own KPIs, such as Output Efficiency, ROI, and Fault Ratio, and the dashboard will display them accordingly.

1. The date, technician name, and report of each maintenance procedure are tracked.
2. The system automatically sends reminders for the next service date.

All data can be exported in Excel, PDF, or CSV formats, which are useful for audits or government submissions.

The system tells you how much you've saved so far, and how long it will take for your solar project to reach break-even.

AI models predict potential energy production over the next week or month.

The system displays the battery's charging, discharging, and health status, and alerts when battery capacity starts to decline.

1. Technicians can diagnose system health without even visiting the site.
2. All installations are shown on a map, where details can be viewed by clicking on any site's location.

1. Systems for different countries and languages
2. Allows you to change the unit of measurement like kWh, MWh, €, ₹, $, etc. and language.

AI-generated trends, causes of energy loss, and suggestions for improvement all on one screen.