Based on meteorological and historical data, machine learning and other methods, it establishes a power prediction model, builds an intelligent PV grid-connected scheduling platform, realizes the optimal matching of PV power generation and grid demand, and improves the acceptance capacity of the grid for PV power generation.

It monitors the voltage parameters at grid-connected points, establishes a voltage stabilization early warning system, and ensures that the grid voltage is within the normal range by regulating reactive power and adopting energy storage systems and other measures.

With RISE's information acquisition and management capabilities, it realizes remote monitoring and control of the PV power generation system, optimizes power generation efficiency, conducts fault diagnosis and maintenance management, and improves the system's intelligence level and operational reliability.