Sungrow, PV inverter and energy storage system provider, has upgraded its iSolarCloud platform to incorporate a Dynamic Tariff feature. It leverages Sungrow’s self-developed AI technology to intelligently manage household energy consumption and electricity trading, with the potential to deliver electricity cost savings for European users.
AI-powered smart trading: Maximising savings
Integrated with Nord Pool and other major power exchanges, the system dynamically responds to hourly pan-European tariff fluctuations, preventing unexpected cost spikes and disruptions in household energy planning. As the system is powered by Sungrow’s self-developed AI algorithms, it can predict solar generation and household electricity demand 24 hours in advance, autonomously executing the most cost-effective energy consumption and trading strategies. During low-tariff periods, the system optimally charges the storage system while reserving state of charge (SOC) capacity for solar absorption, minimizing electricity costs. During peak tariff periods, the system discharges stored energy, transforming households into ‘virtual power banks’ for automated revenue streams.
Evolving intelligence
The Dynamic Tariff feature continuously analyses user behavior and consumption patterns, refining its forecasting accuracy through continuous learning. The self-optimising system coordinates PV arrays, ESS, and EV chargers through adaptive collaboration strategies, all without manual intervention. Compatible with diverse configurations (PV-ESS-EV charging system, PV-ESS, ESS-only, VPP integration), it delivers instant responses in seconds across scenarios.
