TY - JOUR
T1 - Energy consumption model improvement with principal component analysis method for small village community
AU - Petrana, Subhan
AU - Setiawan, Eko Adhi
AU - Yunus, M. H.A.
N1 - Publisher Copyright:
© Published under licence by IOP Publishing Ltd.
PY - 2018/1/25
Y1 - 2018/1/25
N2 - Daily electrical energy consumption is a key parameter to determine balancing electricity supply and demand particularly in remote area where is not yet being electrified. The absence of daily electrical energy consumption data is a constraint for developing microgrid systems based on renewable energy. The purpose of this study is to improve electrical energy consumption model with adding some variables such as family income and family expenses, the number of family members and the load factor as independent variable, and electrical energy consumption assumption as dependent variable. Principal Component Analysis (PCA) method is used to find the relationship between independent and dependent variables. The electric energy consumption model Y = (0.69) + (1.77e -7 x A 1) - (1.54e -7 x A 2) + (0.037x A 3) + (7.45 x A 4), with determination factor (R-Square) is 97%.
AB - Daily electrical energy consumption is a key parameter to determine balancing electricity supply and demand particularly in remote area where is not yet being electrified. The absence of daily electrical energy consumption data is a constraint for developing microgrid systems based on renewable energy. The purpose of this study is to improve electrical energy consumption model with adding some variables such as family income and family expenses, the number of family members and the load factor as independent variable, and electrical energy consumption assumption as dependent variable. Principal Component Analysis (PCA) method is used to find the relationship between independent and dependent variables. The electric energy consumption model Y = (0.69) + (1.77e -7 x A 1) - (1.54e -7 x A 2) + (0.037x A 3) + (7.45 x A 4), with determination factor (R-Square) is 97%.
UR - http://www.scopus.com/inward/record.url?scp=85041657914&partnerID=8YFLogxK
U2 - 10.1088/1755-1315/105/1/012014
DO - 10.1088/1755-1315/105/1/012014
M3 - Conference article
AN - SCOPUS:85041657914
SN - 1755-1307
VL - 105
JO - IOP Conference Series: Earth and Environmental Science
JF - IOP Conference Series: Earth and Environmental Science
IS - 1
M1 - 012014
T2 - 2nd International Tropical Renewable Energy Conference, i-TREC 2017
Y2 - 3 October 2017 through 4 October 2017
ER -
