Heat supply energy efficiency optimization auxiliary analysis method and system based on machine learning

The embodiment of the invention provides a heat supply energy efficiency optimization auxiliary analysis method and system based on machine learning, and the method comprises the steps: firstly, training two machine learning networks through analyzing the operation track, scheduling knowledge and collaborative data of an example heat supply operation system, so as to estimate collaborative performance knowledge points and evaluate performance expression; and then, parameter learning is carried out on the two networks by learning data of a heat supply operation system, and a more optimized heat supply collaborative analysis network is generated. And continuously optimizing the network performance through loop parameter learning, and finally outputting a collaborative performance knowledge point estimation network. The collaborative performance knowledge point estimation network can be used for performing energy efficiency optimization auxiliary analysis on the target heat supply operation system and providing