Multivariate analysis applied to the supply of liquefied petroleum gas (LPG) in Peru

Authors

  • Beatriz Adaniya Higa Universidad Nacional de Ingeniería

DOI:

https://doi.org/10.15381/idata.v22i2.15810

Keywords:

Principal component analysis, multivariate statistical technique, LPG supply, variables, energy security

Abstract

This article provides a brief analysis on energy supply security, focusing mainly on the variables related to the supply of liquefied petroleum gas (LPG) within the Peruvian market. Furthermore, via the use of real data, principal component analysis (PCA), one of the most common multivariate techniques, is explained and illustrated, whose result indicates that a correlation exists between the analyzed variables.

Downloads

Download data is not yet available.

Author Biography

  • Beatriz Adaniya Higa, Universidad Nacional de Ingeniería

    Petrochemical Engineer from the Universidad Nacional de Ingeniería (UNI). MBA and MSc in Petroleum and Natural Gas Engineering from the same university. Professor at the Department of Petrochemical Engineering of the School of Petroleum, Natural Gas and Petrochemistry of the UNI. She is also manager of natural gas production and processing for the División de Supervisión de Gas Natural at Osinergmin.

Published

2020-01-02

Issue

Section

Diseño y Tecnología

How to Cite

Multivariate analysis applied to the supply of liquefied petroleum gas (LPG) in Peru. (2020). Industrial Data, 22(2), 47-64. https://doi.org/10.15381/idata.v22i2.15810