Open AccessDesign of Smart Home Energy Management System for Saving Energy
Author(s) -
Bilal A. Mubdir,
Asaad M. Jassim Al-Hindawi,
Noor Al Huda Salim Hadi
Publication year - 2016
Publication title -
european scientific journal
Language(s) - English
Resource type - Journals
eISSN - 1857-7881
pISSN - 1857-7431
DOI - 10.19044/esj.2016.v12n33p521
Subject(s) - energy consumption , gsm , hidden markov model , energy management system , energy management , home automation , energy (signal processing) , computer science , transmission (telecommunications) , markov chain , dependency (uml) , real time computing , telecommunications , embedded system , engineering , electrical engineering , artificial intelligence , machine learning , statistics , mathematics
The rapid change and development in human life, information technology, and the increase in using home gadgets, modern appliances, and electric cars, leads to more dependency on electrical resources and consecutive increase in CO2 emission from generation plant. The current world issue is on how to save the energy by reducing the consumption and decreasing global warming. In this research, Smart Home Energy Management System (SHEMS) has been developed to operate home appliances in an optimum approach. It is aimed at reducing the consumption energy by detecting the residents’ activity and identifying it among three states: Active, Away, or Sleep. The SHEMS is designed with an algorithm that is based on Hidden Markov Model (HMM) in order to estimate the probability of the home being in each of the above states. The proposed system uses the WiFi technology for data transmission inside home and the GSM technology for external communication. The proposed system and its algorithm was successfully tested and 18% of energy saving were obtained.