Optimal appliance scheduling in building operating systems for cost-effective energy management

Modern smart buildings are envisioned to have both passive and active design components, which are managed by building operating systems. A building operating system consists of different functional modules which help handle the resources of the building and contribute towards the goal of efficient energy management. This paper investigates the functional part of building operating system which aims to achieve optimal demand side management, through designed scheduling of electrical appliances in a residential setting or in office buildings. The problem is formulated and solved based on the techniques of convex optimization and stochastic optimization.