In this paper, we present a high-level power macromodeling technique at register transfer level (RTL). The proposed
methodology allows to estimate the power dissipation on digital systems composed of intellectual property (IP) macro-blocks
by using the statistical knowledge of their primary inputs. During the power estimation procedure, the sequence of
an input stream is generated by using input metrics. Then, a Monte Carlo zero delay simulation is performed and a power
dissipation macromodel function is built from power dissipation results. From then on, this macromodel function can be
used to estimate power dissipation of the system just by using the statistics of the IPs primary inputs. In our experiments
with the test IP system, the average error is 29.63%.