
A smart add-on device for electrical meters that enables Remote Energy Metering by decoding consumption data and transmitting it securely to the cloud via LoRaWAN.






Traditional energy metering still relies on manual processes, which create operational inefficiencies and compliance risks:

The Remote Energy Metering solution digitizes and automates data collection, enabling secure, accurate, and compliant energy management:

By replacing manual meter reading with automated digital monitoring, the solution drives operational efficiency, compliance, and cost savings:

In a commercial building, energy monitoring once depended on monthly manual meter readings. The process consumed nearly 40 man-hours per month, introduced errors, and often delayed billing.
After Remote Energy Metering was deployed, consumption data from each floor was automatically uploaded to the cloud every fifteen minutes. Facility managers detected anomalies 30% faster, generated EVN-compliant reports instantly, and provided tenants with transparent, accurate billing. As a result, the building reduced operational workload by 20% and improved tenant satisfaction scores by 15%.
At Industrial Facility, dozens of high-load machines consumed over 5 million kWh annually, yet manual checks were inconsistent and inefficiencies went unnoticed.
By adopting Remote Energy Metering, the plant achieved real-time insights into load patterns and equipment performance. Managers optimized energy allocation, reducing peak load consumption by 12% and cutting annual electricity expenses by approximately 15 billion VND. Within the first year, the factory improved energy efficiency without compromising production stability.
A solar farm in Central Vietnam operated with hundreds of GELEX meters across a 50 MWp installation, previously requiring technicians to spend 60+ hours monthly on manual data collection.
With Remote Energy Metering, each meter now transmits generation data directly to the cloud through LoRaWAN. The operator gained centralized visibility of performance, automated EVN reporting, and improved yield accuracy by over 98%. This saved significant technician hours, streamlined compliance, and boosted investor confidence through reliable performance data.

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