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

Subhan Petrana, Eko Adhi Setiawan, M. H.A. Yunus

Research output: Contribution to journalConference articlepeer-review

Abstract

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%.

Original languageEnglish
Article number012014
JournalIOP Conference Series: Earth and Environmental Science
Volume105
Issue number1
DOIs
Publication statusPublished - 25 Jan 2018
Event2nd International Tropical Renewable Energy Conference, i-TREC 2017 - Bali, Indonesia
Duration: 3 Oct 20174 Oct 2017

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