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A home energy management system (HEMS) is expected to play an important role in saving energy costs under time-varying electricity price in a smart home environment. The development of HEMS requires studies on various energy resources in a home, such as energy storage system, and fuel cell. However, in HEMS, very limited research about heating and air conditioning scheduling with customer convenience has been conducted. This study presents a smart heating and air conditioning scheduling method that considers customer convenience and characteristics of the thermal device and an optimization-based approach to minimize the cost in HEMS.