Optimal scheduling of smart homes' appliances for the minimization of energy cost under dynamic pricing

This paper focuses on the development of load scheduling algorithms applied to representative types of home appliances, in order to reduce the energy cost, in a context of fluctuating energy prices, based on user's requirements. The presented algorithms could be executed both in a centralized energy management system and in distributed low-cost load controllers. Respective analysis and evaluation provide significant insight, both concerning feasibility and flexibility of such approaches as well as potential cost reduction.