TY - JOUR
T1 - Polynomial Load Model Development for Analysing Residential Electric Energy Use Behaviour
AU - Nashrullah, Erwin
AU - Halim, Abdul
N1 - Publisher Copyright:
© The Authors, published by EDP Sciences, 2018.
PY - 2018/10/26
Y1 - 2018/10/26
N2 - Analysing and simulating the dynamic behaviour of home power system as a part of community-based energy system needs load model of either aggregate or dis-aggregate power use. Moreover, in the context of home energy efficiency, development of specific and accurate residential load model can help system designer to develop a tool for reducing energy consumption effectively. In this paper, a new method for developing two types of residential polynomial load model is presented. In the research, computation technique of model parameters is provided based on median filter and least square estimation and implemented by MATLAB. We use AMPDs data set, which have 1-minute data sampling, to show the effectiveness of proposed method. After simulation is carried out, the performance evaluation of model is provided through exploring root mean-squared error between original data and model output. From simulation results, it could be concluded that proposed model is enough for helping system designer to analyse home power energy use.
AB - Analysing and simulating the dynamic behaviour of home power system as a part of community-based energy system needs load model of either aggregate or dis-aggregate power use. Moreover, in the context of home energy efficiency, development of specific and accurate residential load model can help system designer to develop a tool for reducing energy consumption effectively. In this paper, a new method for developing two types of residential polynomial load model is presented. In the research, computation technique of model parameters is provided based on median filter and least square estimation and implemented by MATLAB. We use AMPDs data set, which have 1-minute data sampling, to show the effectiveness of proposed method. After simulation is carried out, the performance evaluation of model is provided through exploring root mean-squared error between original data and model output. From simulation results, it could be concluded that proposed model is enough for helping system designer to analyse home power energy use.
UR - http://www.scopus.com/inward/record.url?scp=85056832137&partnerID=8YFLogxK
U2 - 10.1051/matecconf/201821801007
DO - 10.1051/matecconf/201821801007
M3 - Conference article
AN - SCOPUS:85056832137
SN - 2261-236X
VL - 218
JO - MATEC Web of Conferences
JF - MATEC Web of Conferences
M1 - 01007
T2 - 1st International Conference on Industrial, Electrical and Electronics, ICIEE 2018
Y2 - 4 September 2018 through 5 September 2018
ER -
