The Application of Artificial Intelligence for Optimizing Energy Balance Energy Smart Buildings Integrated in the Smart Area

Abstract

The article describes the optimization unit commitment of renewable energy sources (RES) distributed in the electric micro-grid of a fictitious Smart Cities composed of an intelligent buildings complex, both residential and offices, including a wide range of public facilities. In connection with the solution of this task, the optimized heuristic technique of simulated annealing is then generally described as one of the methods of evolutionary algorithms. Afterwards, a computer program is designed to conduct and discuss the optimization task demonstrating the computational experiment.