The invention relates to the technical field of carbon effect real-time monitoring, in particular to a CUE real-time monitoring method and
system, and the method comprises the following steps: obtaining a real-time
voltage and current sequence and a
power grid carbon emission factor through a
distributed collection terminal, carrying out the sliding window
time alignment operation on the sequence through a
timestamp mark, so as to generate aligned
energy consumption time sequence data, and carrying out the
time alignment operation on the aligned
energy consumption time sequence data; decomposing the data into different energy components according to a
carbon source tracking logic, executing weighted summation in combination with an
emission coefficient to calculate a real-time carbon use efficiency index, and inputting the index,
service load characteristics and meteorological environment data into a long short-
term memory network model to generate a carbon effect
trend prediction curve; a
high carbon emission risk period is identified and a computing power
resource scheduling instruction including business load migration and frequency adjustment parameters is constructed. According to the invention, by eliminating
time sequence dislocation data caused by
transmission delay, the conversion from passive accounting to active prediction scheduling is realized, and the real-time performance and
granularity of carbon efficiency management are effectively improved.