Anticipated Network of Optimizers for Energy Applications in Space

Anticipatory networks combined with smart systems can predict spacecraft consumption patterns and transmit electricity according to the expected demand. Modern data-driven techniques are needed to meet spacecraft demand forecasting challenges. Anticipatory networks link data about the future to decisions made today. Multicriteria Decision-Making methodology aims to enrich methods for controlling spacecraft electric elements and create visualizations of proposed control methods. The description of solving the optimization problem was presented. The possibilities of a solution in the energy sector in space with the usage of anticipated networks were given.