TY  - JOUR
T1  - Hybrid Method of DFT and Constructive Backpropagation for Energy Monitoring
AU - Syai’in, Mat AU - Adiatmoko, M.F. AU - Rohiem, N.H. AU - Soeprijanto, Adi 
JO  - Journal of Engineering and Applied Sciences
VL  - 13
IS  - 21
SP  - 9016
EP  - 9021
PY  - 2018
DA  - 2001/08/19
SN  - 1816-949x
DO  - jeasci.2018.9016.9021
UR  - https://makhillpublications.co/view-article.php?doi=jeasci.2018.9016.9021
KW  - Time domain
KW  -frequency domain
KW  -low frequency
KW  -constructive back propagation
KW  -smart-meter
KW  -employed
AB  - This study present new technique to identify similar signal of appliance such as the same brand and
the specification of appliance. The proposed method was developed in the study was converting signal RMS
current of appliance from time domain to frequency domain. To distinguish similar signals fourier transformation
was conducted to result low frequency which represent of appliance. And then Constructive Bcak
Propagation-Neural Network (CBP-NN) was employed for decision making of identification. The CBP-NN was
designed using five input and two output. The experiment result shown that the method working properly with
very small, i.e., error 0. 0659% for case 1 and 0. 2797% for case 2.
ER  -