The invention belongs to the technical field of
data center energy efficiency management, and discloses a
data center energy consumption modeling method,
system, equipment and medium based on
dynamic coupling of
electric power and computing power, so as to solve the
dynamic coupling modeling problem of the
electric power and the computing power. The method comprises the following steps: acquiring and
processing power side operation data, computing power side load data and scene association data of a
data center to form a multi-dimensional
data set; extracting a core
coupling factor between the
electric power and the computing power, and constructing a
time sequence correlation model; generating an
energy consumption prediction model adaptive to the current operation scene based on the
time sequence correlation model; comparing a prediction result of the
energy consumption prediction model with actual energy consumption data, calculating a prediction error, and optimizing and re-evaluating the core
coupling factor; and performing multi-scene test
verification on the optimized energy consumption prediction model, and outputting an energy consumption modeling result. According to the method, through fusion of
dynamic coupling, scene self-adaption, closed-loop iteration and
interpretability analysis, the accuracy, robustness and practicability of data center energy consumption prediction are improved.