①From Tencent’s data centers to CATL’s factories, Deep Intelligent Control aims at the same problem: after devices have achieved automatic control, how can AI be used to further optimize the energy efficiency of the entire system? ②It can be seen that the expansion of computing power is creating a closer two-way relationship between AI and energy: the development of AI requires more electricity, making the operational efficiency of the energy system even more important.

As computing power expands, artificial intelligence and energy systems are forming a close two-way interactive relationship. On one hand, the development of AI creates increasing demand for electricity; on the other hand, improving the operational efficiency of energy systems becomes increasingly crucial. Currently, scenarios ranging from Tencent’s data centers to CATL’s factories face common challenges: how to further utilize AI technology to identify opportunities for energy efficiency improvement on the basis of automated control of equipment. Deep Intelligent Control aims to address this core issue by introducing artificial intelligence, in order to cope with the energy pressures caused by expanding computing power and optimize overall system efficiency.