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http://dx.doi.org/10.7471/ikeee.2019.23.1.322

Development of Data Acquisition System for Smart Farm Non-Intrusive Load Monitoring  

Kim, Hong-Su (Dept. of Electrical Eng., Soombi Co., Ltd, Jeju National Univ.)
Kim, Ho-Chan (Dept. of Electrical Eng., Soombi Co., Ltd, Jeju National Univ.)
Jwa, Jeong-Woo (Dept. of Electrical Eng., Soombi Co., Ltd, Jeju National Univ.)
Kang, Min-Jae (Dept. of Electrical Eng., Soombi Co., Ltd, Jeju National Univ.)
Publication Information
Journal of IKEEE / v.23, no.1, 2019 , pp. 322-325 More about this Journal
Abstract
The non-intrusive load monitoring(NILM) algorithm can infer the power usage of the individual electric devices by the total electric power consumption of the main line. To develop such an algorithm, power usage pattern data of individual devices as well as those of various combinations of these devices are required. In this paper, we propose a method to develop a power usage pattern data acquisition system for developing a NILM algorithm for a smart farm. The data acquisition system is capable of simultaneously measuring the power usage of individual electrical devices and the power usage according to various combinations of scenarios every second. The measured data can be remotely monitored from the outside of the smart farm through the LTE network, and the measured data is stored in an external server.
Keywords
NILM; power usage pattern; smart farm; data acquisition; monitored;
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