  In previous research, it was shown that the software decoding energy demand
of High Efficiency Video Coding (HEVC) can be reduced by 15$\%$ by using a
decoding-energy-rate-distortion optimization algorithm. To achieve this, the
energy demand of the decoder has to be modeled by a bit stream feature-based
model with sufficiently high accuracy. Therefore, we propose two bit stream
feature-based models for the upcoming Versatile Video Coding (VVC) standard.
The newly introduced models are compared with models from literature, which are
used for HEVC. An evaluation of the proposed models reveals that the mean
estimation error is similar to the results of the literature and yields an
estimation error of 1.85% with 10-fold cross-validation.
