Energy consumption model improvement with principal component analysis method for small village community

2nd international Tropical Renewable Energy Conference 2017

Petrana, Subhan^1 ; Setiawan, Eko Adhi^2 ; Yunus, M.H.A.^1

Department of Electrical Engineering, Universitas Khairun, Ternate, Indonesia^1

Tropical Renewable Centre, Faculty of Engineering, Universitas Indonesia, Depok, Indonesia^2

关键词: Dependent variables;    Electric energy consumption;    Electrical energy consumption;    Electricity supply and demands;    Energy consumption model;    Independent variables;    Micro-grid systems;    Principal component analysis method;   

Others  :  https://iopscience.iop.org/article/10.1088/1755-1315/105/1/012014/pdf
DOI  :  10.1088/1755-1315/105/1/012014

来源: IOP

【 摘 要 】

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-7x A1) - (1.54e-7x A2) + (0.037x A3) + (7.45 x A4), with determination factor (R-Square) is 97%.