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A compositional approach for modelling SDG7 indicators: case study applied to electricity access

Author
Marcillo, J.; Ortego, M.I.; Pérez-Foguet, A.
Type of activity
Journal article
Journal
Renewable and sustainable energy reviews
Date of publication
2019-06
Volume
107
First page
388
Last page
398
DOI
10.1016/j.rser.2019.03.028
Project funding
Anàlisis de Dades Composicionals i Espacials. COmpositional and Spatial Data Analysis [COSDA]
Engineering Sciences and Global Development
Transferring compositional data methods into applied science and technology
Repository
http://hdl.handle.net/2117/187397 Open in new window
https://www.researchgate.net/publication/331864872_A_compositional_approach_for_modelling_SDG7_indicators_Case_study_applied_to_electricity_access Open in new window
URL
https://www.sciencedirect.com/science/article/pii/S1364032119301674 Open in new window
Abstract
Monitoring energy indicators has acquired a renewed interest with the 2030 Agenda for Sustainable Development, and specifically with goal 7 (SDG7), which seeks to guarantee universal access to energy. The predominant criteria to monitor SDG7 are given in a set of individual indicators. Along this line, the UN indicators proposed in the 47th session of the UN Statistical commission are a practical starting point. A relevant characteristic of these indicators is that they can be expressed as propo...
Citation
Marcillo, J.; Ortego, M.I.; Pérez-Foguet, A. A compositional approach for modelling SDG7 indicators: case study applied to electricity access. "Renewable and sustainable energy reviews", Juny 2019, vol. 107, p. 388-398.
Keywords
Compositional data analysis, Epsilon support vector machine, Generalized additive model, SDG, Sustainable Development Goals, Trend analysis
Group of research
COSDA-UPC - COmpositional and Spatial Data Analysis
EScGD - Engineering Sciences and Global Development

Participants