Next Article in Journal
Power System Hardware in the Loop (PSHIL): A Holistic Testing Approach for Smart Grid Technologies
Previous Article in Journal
Moisture-Safe Cold Attics in Humid Climates of Europe and North America
Article

Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection

1
Centre for Data Science, Coventry University, Coventry CV1 5FB, UK
2
Department of Electricity, Federal University of Amazonas (UFAM), AM 69067-005 Manaus, Brazil
*
Author to whom correspondence should be addressed.
Energies 2020, 13(15), 3857; https://doi.org/10.3390/en13153857
Received: 19 June 2020 / Revised: 19 July 2020 / Accepted: 22 July 2020 / Published: 28 July 2020
(This article belongs to the Section Energy Economics and Policy)
Since 2003, Brazil has striven to provide energy access to all, in rural areas, in an effort to economically empower the communities. Unpacking fuel stacking behaviour can shed light onto the speed of transition toward the exclusive use of advanced fuel types. This paper presents findings from surveys that were carried out with 14 non-electrified communities in a rural area of Rio Negro, Amazonas State, Brazil. We identify the fuel choice determinants in these communities using a multinomial logistic regression model and more generally discuss the validity and robustness of such models in the context of statistical validation and evaluation metrics. Specifically for the Amazonas communities considered in this study, the research showed that the fuel choice determinants are the age of household, the number of people at meals each day, the number of meals daily, the community, education of the household head, and the income level of the household. Moreover, given the Brazilian policies related to energy and sustainability, this region is not likely to reach the Sustainable Development Goals proposed by United Nations for 2030. View Full-Text
Keywords: rural electrification; fuel stacking; fuel choice; multinomial logistic regression model rural electrification; fuel stacking; fuel choice; multinomial logistic regression model
Show Figures

Figure 1

MDPI and ACS Style

Gyamfi, K.S.; Gaura, E.; Brusey, J.; Trindade, A.B.; Verba, N. Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection. Energies 2020, 13, 3857. https://doi.org/10.3390/en13153857

AMA Style

Gyamfi KS, Gaura E, Brusey J, Trindade AB, Verba N. Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection. Energies. 2020; 13(15):3857. https://doi.org/10.3390/en13153857

Chicago/Turabian Style

Gyamfi, Kojo S.; Gaura, Elena; Brusey, James; Trindade, Alessandro B.; Verba, Nandor. 2020. "Understanding Household Fuel Choice Behaviour in the Amazonas State, Brazil: Effects of Validation and Feature Selection" Energies 13, no. 15: 3857. https://doi.org/10.3390/en13153857

Find Other Styles
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop