Lee, S.-C.S.-C.LeeLin, G.-Y.G.-Y.LinJih, W.-R.W.-R.JihHuang, C.-C.C.-C.HuangYUNG-JEN HSU2020-05-042020-05-042012https://scholars.lib.ntu.edu.tw/handle/123456789/490557In the past decades, the amount of electricity used by appliances has grown dramatically. As we are demanding more electricity, we should lower the damage to our environment by using energy efficiently. Conservation of energy by looking at one's habits and notifying them to turn off unnecessary appliances can help out a lot. This research develop a framework, which is able to recognize the operating state of every electrical appliance in a house and figure current user activity. By analyzing the behavior of using appliances, the correlation between activity and appliance can help to detect the nonessential appliance, which is the appliance does not participate in any user activity. The real user experimental results show 96.43% in recognizing the operating state of appliances and 72.66% in detecting nonessential appliances. © Springer-Verlag Berlin Heidelberg 2012.[SDGs]SDG7Activity recognition; Conservation of energy; Electrical appliances; Energy aware; Operating state; Turn offs; User activity; Data privacy; Energy conservation; Multi agent systems; Network security; Equipmentconference paper10.1007/978-3-642-25920-3_34https://www.scopus.com/inward/record.uri?eid=2-s2.0-84875738313&doi=10.1007%2f978-3-642-25920-3_34&partnerID=40&md5=bb92a5bf2c7b7a045fb6d963bbf1c931