SinerGIA

An energy optimization engine to maximize flexibility and efficiency

SinerGIA is an intelligent engine that orchestrates distributed energy assets (PV generation, storage, recharging points, manageable loads) to predict, decide and execute actions that improve the profitability and sustainability of your energy operation.

Innovating in the energy transition: an operational and digital challenge

Electrification and the growth of electric vehicles generate demand peaks, price volatility and greater operational complexity. On top of this, there is a tsunami of IoT data that many organizations are not exploiting. The challenge: to forecast and optimize in real time, contain costs and open new revenue streams (grid services, energy communities), without compromising supply quality.

What is SinerGIA?

A technological solution for operating virtual power plants (VPPs) and energy communities

SinerGIA combines predictive analytics (demand, generation, pricing), real-time optimization and back-office automation to turn your distributed assets into a Virtual Power Plant.

The system that learns from data (consumption, generation, prices, weather, calendar, events) and recommends or executes optimal decisions: when to load/unload, when to buy/sell and how to flatten peaks(peak shaving), integrating with your platforms and devices.

Impact and benefits

Lower energy costs by shifting consumption and taking advantage of price windows.
Additional income from network services and flexibility management.
Fewer peaks and better quality of service.
Greater stability, more flexible and decarbonized.
Administrative automation (invoicing, settlement of surpluses, regulatory reporting).

SinerGIA is conceived as a collaborative project between operators, technologies and institutions to accelerate the maturity of VPP in real environments.

Our role in the project

At Pronet, we provide technology for an optimized energy transition:

Data integration, systems and analytics-ready data models.
Intelligence layer: forecasting (demand, generation, prices…) and decision optimization (buy, sell, load, unload…).
Product and operation: dashboards, APIs and billing and compliance automation to move from pilot to production.