Title :
An Intelligent Energy Management Scheme with Monitoring and Scheduling Approach for IoT Applications in Smart Home
Author :
Tui-Yi Yang;Chu-Sing Yang;Tien-Wen Sung
Author_Institution :
Dept. of Electr. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
Abstract :
Because of less and less energy in the world, developing an intelligent energy management system for residence and factory is more important to use power efficiently and make friendly environment. In this paper, we propose a smart home energy management system (HEMS) which analyzes the electrical usage and history of all household appliances through context-aware technologies, meta-heuristics algorithms and statistical analysis. Furthermore, the battery management system which can be recharged from renewable energy and mains electricity is as well another focus in the proposed home energy management system. Finally, the scheme can control the cost of energy usage by intelligently monitoring the condition of household electricity and ensuring the safety.
Keywords :
"Home appliances","Internet of things","Particle swarm optimization","Energy management","Safety","Monitoring"
Conference_Titel :
Robot, Vision and Signal Processing (RVSP), 2015 Third International Conference on
Electronic_ISBN :
2376-9807
DOI :
10.1109/RVSP.2015.58