Scheduling Household Appliances using Genetic Algorithms

Smart grids with their advanced communication capabilities and sensing methodologies introduce a smart manner for energy management systems. In fact, the fast development of smart grid technologies provide an advanced control over the energy offered and consumed by the suppliers and the consumers of the electricity, respectively. The growing usage of electricity is leading to an increased demand on the following scarce resources: energy, oil and coal. This will result in increasing electricity prices. Moreover, the continuing growth of electricity is negatively affecting the environment. Therefore, coming up with a planned schedule for household appliances for controlling Demand Side Management in smart grids is beneficial on the economic and environmental level. In this paper, we present a scheduling algorithm using heuristic optimization that will serve as a solution to create a schedule for home appliances that minimizes the monetary expenses and protects the environment indirectly.