This work introduces enhanced versions of the temporal compressive resource allocation technique, which is applied for power line communication systems when the periodically time varying behavior of electric power systems is taken into account. The enhancements are accomplished by introducing two changes that increase the effectiveness of the resource allocation process based on rate adaptation. The first change refers to the use of the minimum signal-to-noise ratio of each set of microslots for preventing symbol error rate peaks in some microslots. The second change imposes the use of the normalized signal-tonoise ratio matrix to estimate the correlation among microslots since it is a more reliable parameter to provide such type of information. Numerical results, based on a comparison between the full enhanced version, a partial enhanced version and the original technique, show that both enhanced versions are capable of fulfilling symbol error rate upper bound with reduced data rate loss penalty in comparison to the original one. Also, the use of the normalized signal-to-noise ratio matrix results in higher computational complexity reduction.