@Article{2019.100000101,
AUTHOR = {Jia‐Shing Sheu, I‐Chen Chen, Yi‐Syong Liao},
TITLE = {Realization of Internet of Things Smart Appliances},
JOURNAL = {Intelligent Automation \& Soft Computing},
VOLUME = {25},
YEAR = {2019},
NUMBER = {2},
PAGES = {395--404},
URL = {http://www.techscience.com/iasc/v25n2/39667},
ISSN = {2326-005X},
ABSTRACT = {This study proposed a household energy state monitoring system (HESMS) and 
a household energy load monitoring system (HELMS) for monitoring smart 
appliances. The HESMS applies reinforcement learning to receive changes in the 
external environment and the state of an electrical appliance, determines if the 
electrical appliance should be turned on, and controls the signals sent to the 
HELMS according to these decisions. The HELMS implements an ON/OFF control 
mechanism for household appliances according to the control signals and the 
power consumption state. The proposed systems are based on the wireless 
communication network and can monitor household appliances’ energy usage, 
control intelligent appliances, and decrease fire occurrence rates due to 
electrical appliance overloading. In addition to minimizing costs, the system 
does not change the original household appliance structures. When the control 
signals are transferred by the relay through wireless communication, the 
monitoring information is captured and recorded in a database. Thus, users can 
access the latest information regarding the performance of electrical appliances.},
DOI = {10.31209/2019.100000101}
}