SigenAgent: what is an energy AI agent?

SigenAgent is an energy AI based on an “autonomous agent” model, launched by Sigenergy and integrated into its SigenStor energy storage system. The difference from a traditional app is fundamental: it is neither a chatbot nor another dashboard. It is an agent that understands your objective, breaks it down into tasks, develops a strategy, coordinates your equipment and refines its decisions over time.

The principle can be summed up in one sentence: you set the goal, the AI thinks, the devices execute. Instead of manually choosing an operating mode (self-consumption, total injection, backup reserve…), you simply say, in natural language, “I want to reduce my bill” or “I want to maximise my surplus injection revenue”. SigenAgent translates this objective into concrete actions for your inverter, battery and EV charger.

This is the centrepiece of Sigenergy's “AI in All” strategy: integrating artificial intelligence not as an isolated feature, but as a layer present across all products, from hardware to software.

Why a new installation changes everything

Owning solar panels and a battery has never been the most difficult part. The real challenge is controlling them effectively every day. And in 2026, the number of parameters to balance simultaneously is far beyond what a household can manage manually: EDF Tempo days (Blue, White, Red) changing every day, 48-hour weather forecasts affecting the following day's production, the constant choice between storing, self-consuming or injecting surplus, and charging the electric vehicle at the best price.

When starting with a new installation designed as a single system, you avoid the most common pitfall: a poorly configured system that you never revisit. Choosing equipment designed for AI from the outset ensures that every kilowatt-hour produced will be managed at the right time for 25 years.

How it works: objective → decision → execution

SigenAgent operates through three simple steps that replace traditional manual configuration.

In practical terms: a Red Tempo day forecast with a cloudy following day? The agent charges the battery during off-peak hours the day before to avoid the peak tariff. A sunny weekend when you are away? It prioritises injection at the best tariff. All this without any action on your part.

Concrete results and safeguards

The most revealing figures come from a real-world deployment. In a Warsaw household, combined with Polish dynamic pricing, Sigenergy's AI reduced the average monthly electricity purchase price from 1,1 to approximately 0,55 zl/kWh, representing a 50% reduction, while monthly solar revenue increased from 220 to 300%. A commercial project carried out with Gaia Solar in Lodz reported savings of up to 48%.

These results depend on the local tariff context and do not constitute a warranty: in France, the actual benefit will depend on your consumption profile, your tariff plan (Tempo, Base, Off-Peak Hours) and the size of your installation. However, the optimisation potential is real, especially for Tempo subscribers, whose price difference between Blue and Red days is considerable.

SigenStor: the 5-in-1 equipment that makes AI possible

High-performance AI needs equipment capable of executing its decisions without friction. This is the role of the SigenStor, the energy storage system that integrates five functions into a single piece of equipment: solar inverter, battery converter (PCS), DC EV charger, LFP battery pack and energy management system (EMS). One installer, one app, one warranty.

This integration is far from insignificant: Frost & Sullivan ranked the SigenStor number 1 worldwide in the stackable all-in-one energy storage category, with a 28,6 % segment share in 2024. This coherent architecture enables SigenAgent to coordinate all energy flows without compatibility issues between components from different brands — a decisive advantage for a new installation, where everything is built around the same brain.

Size your system correctly from installation day to unlock AI

Let's be honest: energy AI does not deliver the same benefits to everyone. With a new installation, the initial sizing determines the “material” the agent will be able to optimise for years to come.

As a general rule: the more your tariff varies over time and the more energy storage capacity you have, the more levers AI can use. Without a battery or dynamic tariff, the benefit remains marginal. This is precisely why a personalised assessment before installation is decisive — it determines the installation's future efficiency.