It starts with data
A strong Energy Management System (EMS) always requires on one essential ingredient: reliable, real-time data. The P1 dongle unlocks that data directly from the P1 port of a smart meter, transforming it into a powerful enabler for accurate monitoring, analysis, and control.
Every smart meter measures electricity usage and, where applicable, local generation and gas consumption. But without access to this information in real time, an EMS is forced to rely on estimates or delayed reports. The P1 dongle bridges this gap.
- It captures live consumption and generation data directly from the P1 port.
- It transfers the data seamlessly into the EMS environment.
- It creates the foundation for intelligent decisions — such as balancing demand, shifting loads, or aligning consumption with solar production.
In short, the P1 dongle turns the smart meter into an active part of the EMS ecosystem.

Applications
Within an EMS, the P1 dongle assists enabling the following use-cases:
- Load anticipation
Anticipate and control peak loads before they occur. - Optimizate for self-consumption
Synchronize household or building consumption with renewable generation, like PV or wind. - Load balancing
Enable EV chargers, heat pumps, or batteries to respond dynamically to live grid conditions to make the most out of the available capacity without exceeding it. - Transparency
Visualize energy flows with second-by-second accuracy for both end-users and system operators.
By feeding precise, time-stamped data into the EMS, every decision the system makes is made using accurate real-time data.

Engineered for integration
The P1 dongle is more than a simple data reader. It is designed as a reliable building block for EMS developers and integrators:
- Protocol support, local and remote API, for smooth communication with diverse EMS platforms.
- Robust firmware that ensures stability in continuous operation.
- Compact design that fits seamlessly into residential setups.
This makes it suitable for applications ranging from single households to large-scale energy communities.