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, coo...

This paper proposes a multi-agent system for energy management in microgrid smart home applications, the comprises photovoltaic source, battery storage, electrical loads, and an (EMS) based on agents. The can be connected to grid or operating island mode. All distributed sources are implemented using MATLAB/Simulink simulate dynamic model of each component. agent proposed interact with other fi...

The primary position of this research is to delineate design considerations for building a home energy management system that understands the dynamic nature of household structures; a system that can interact with situational variants and assist in temperature decision making, relieving user of added stressors during times of familial changes. This research discusses implications for building a...