A Smart Home Architecture for Energy Conservation and Multiple Energy Source Management

Abstract

Smart home architecture has been widely applied in energy conservation efforts by improving control and monitoring of energy use. Energy conservation efforts can be made by controlling energy consumption and accommodating other energy sources that are environmentally friendly or renewable. Renewable energy sources can now be built quickly and affordably, for example, solar panels. This study aims to build a smart home architecture that prioritizes energy conservation and managing multiple energy sources. The method used in this research is applying the Fuzzy Multi-criteria Decision Making model and Artificial Neural Network embedded in the Single Board Computer and ESP8266 system with the Internet of Things concept. This research results in an intelligent hardware architecture and software system that can be controlled via a smartphone or PC for energy-saving efforts increasing awareness of energy use and managing multiple energy sources that are affordable and easy to implement at home.