1. Intelligent operation strategy, with multiple sets of scientific and efficient operation strategies built-in, which can be automatically selected and switched according to actual needs. Develop operational strategies from multiple dimensions such as energy consumption and revenue to meet different system operational goals.
2. Intelligent AI algorithm model, self-learning microgrid control algorithm model, adapted to actual environments, pursuing higher returns, specifically designed for modeling complex energy systems, considering system randomness and nonlinearity, with more accurate and effective computational models. Battery AI technology can provide AI warnings for serious faults such as short circuits and thermal runaway in batteries, and regularly conduct AI health assessments for battery safety to ensure energy storage safety. Based on energy storage battery data, battery consistency coefficients can be proposed to accurately calculate and evaluate the consistency level of batteries.