Low-cost fuzzy logic-controlled home energy management system

Abstract This paper presents a low-cost method for real-time energy management in residences. Light, motion, temperature, and sound sensors are system inputs. Lighting, heating, cooling output powers set according to sensor data consumer conditions. The is controlled by using three different fuzzy logic inference engines together with microcontroller, sensors, Nextion HMI display. lighting, cooling, heating can be precisely the conditions of house. ensures that consumption minimized while maintaining an appropriate level comfort users. shows designed as user-friendly operated easily consumer. Thus, whether consumers at home or not, electricity, water, natural gas controlled, unnecessary prevented. results show such systems effectively reduce user comfort, this could essential component systems.