Temporal Preferences-Based Utility Control for Smart Homes

The residential sector contributes a large part of the energy to global balance. To date, housing demand has mostly been uncontrollable and inelastic grid conditions. Analyzing performance home management system requires creation various profiles real-world demand, as is complex includes multiple factors such occupancy, climate, user preferences, appliance types. Average Peak Ratio (A2P) one most important parameters when managing an efficient cost-effective system. At household level, larger relative magnitudes certain devices make this ratio critical, albeit difficult. Various Demand Response (DR) Side Management (DSM) systems have proposed reduce 1. main ways achieve are economic incentives, comfort modeling control, or preference-based. In study, we propose unique opportunistic social time approach called Time Utility Based Control Feature (TUBCF), which uses concept utility function from economics model control consumer devices. We DR for customers Peak-to-Average (PAR) improve customer satisfaction by eliminating Appliance Wait (WTA) during peak periods. For PAR reduction WTA, architecture mathematical formulation. Our automatically schedules based on their temporal preferences considers six households with different device types operational characteristics. Simulation results show that using strategy can A2P 80% hours.