The problem of energy efficiency management in the energy complex under stochastic conditions and taking into account the human factor is analyzed. Undesirable activities of the Executive of complex subdivision associated with the presence of his own goals have been identified. Such unwanted activity can lead to a decrease in the energy efficiency of the complex. To improve this efficiency, a control system is proposed that uses a digital learning procedure for the Manager of the complex with the help of the Counsellor, who, in turn, learns to evaluate actual energy efficiency. In addition, this system includes digital procedures for planning and classifying the Executive, depending on the energy efficiency of the subdivision he heads. The task is to determine a control system in which the actual energy efficiency of the subdivision will be equal to the maximum possible under stochastic conditions. This problem is solved by synthesizing a control system that includes a set of decision-making procedures by the Manager (planning and classification) together with a set of advisory procedures used by the Counsellor (evaluation and judgment). The problems of forming such an energy efficiency management system in the energy complex are discussed.