Data center energy consumption prediction and energy-saving adjustment method and system and storage medium

The invention belongs to the technical field of energy consumption management, and particularly discloses a data center energy consumption prediction and energy-saving adjustment method and system and a storage medium. Efficient energy consumption prediction, temperature prediction and load prediction are carried out by continuously collecting real-time monitoring data sets of a data center and inputting the real-time monitoring data sets into corresponding linear regression models; constructing an energy consumption prediction trend chart, a temperature prediction trend chart and a load prediction trend chart based on continuous prediction results, and judging whether the energy consumption of the data center exceeds an expected range or not according to the energy consumption prediction trend chart. And based on the predicted energy consumption, the predicted temperature and the predicted load, determining operation regulation and control strategies of the fresh air system and the air-conditioning system to