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

Author
Marcillo-Delgado, J.C.; 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]
Transferring compositional data methods into applied science and technology
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...
Keywords
Sustainable Development Goals SDG Compositional data analysis Trend analysis Epsilon support vector machine Generalized additive model
Group of research
COSDA-UPC - COmpositional and Spatial Data Analysis
EScGD - Engineering Sciences and Global Development

Participants