To overcome the difficulty of having only part of compressor characteristic maps including on-design operating point, and accurately calculate compressor thermodynamic performance under variable worki
This dataset contains the results of experiments comparing the performance of the standard Q-learning based distributional deep reinforcement learning algorithm QL-C51, and a novel variant which uses
To overcome the difficulty of having only part of compressor characteristic maps including on-design operating point, and accurately calculate compressor thermodynamic performance under variable worki
