Virtual power plant resource dynamic adaptive partitioning algorithm based on machine learning

The invention discloses a virtual power plant resource dynamic adaptive partitioning algorithm based on machine learning, and belongs to the technical field of power plant resource partitioning, and the algorithm comprises the following steps: collecting related information, processing the collected information, and evaluating power plant resources; according to the method, the algorithm is internally provided with a process for fully acquiring the information of the power plant, so that the diversity of the information can be improved, more information assistance can be provided during subsequent resource partitioning, the resource partitioning accuracy is greatly improved, and meanwhile, the algorithm is internally provided with a process for performing algorithm optimization on the resource partitioning, so that the resource partitioning efficiency is improved. According to the method, the resources in the region can be optimally configured, so that maximum utilization and optimal scheduling of the resourc