Jia‐Shing Sheua, I‐Chen Chenb, Yi‐Syong Liaoa
Intelligent Automation & Soft Computing, Vol.25, No.2, pp. 395-404, 2019, DOI:10.31209/2019.100000101
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… More >
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