Tools for affective computations in the management of energy facilities, considering the emotional state of operators

The paper discusses the issues of using the tools of affective computations in the management of energy facilities, taking into account the emotional state of operators. The analysis of known approaches in this direction of research is carried out. A diagram of the decision support process and a complex of management mechanisms are proposed, taking into account the use of emotionally colored information. The results of a computational experiment for the problem of classifying emotionally colored information are considered. To assess the emotional state of the operator, the best results can be obtained using a neural convolutional network.