Intelligent electricity bill saving system for smart home

One reason that causes world crisis upon our living environments is the effects of global warming caused by substantive carbon dioxide emissions produced by electrical diffuses of power plants industries and family energy uses of electricity consumers. Consequently, for the purpose of reducing this hazardous aftermath, our aim in this paper was not only to propose an intelligent scheduling system for reducing energy consumption costs for smart home users, but, eventually, also could provide certain contributions for reducing these global warming effects more. We therefore proposed a framework using genetic algorithms for optimized home appliances energy uses scheduling. Our extensive experiments showed that our proposed framework could not just provide the optimized scheduling for home appliances uses, with the pre-configured monthly energy expenditure limits, but also could still retain the living comfort of the residents.