Machine learning-based prediction of energy poverty in Bangladesh : unveiling key socioeconomic drivers for targeted policy actions
Shamal Chandra Karmaker, Ajoy Rjbongshi, Bikash Pal, Kanchan Kumar Sen, Andrew J. Chapman
| Year of publication: |
2025
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|---|---|
| Authors: | Karmaker, Shamal Chandra ; Rjbongshi, Ajoy ; Pal, Bikash ; Sen, Kanchan Kumar ; Chapman, Andrew J. |
| Published in: |
Socio-economic planning sciences : the international journal of public sector decision-making. - Amsterdam [u.a.] : Elsevier Science, ISSN 0038-0121, ZDB-ID 1491145-0. - Vol. 99.2025, Art.-No. 102213, p. 1-15
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| Subject: | Bangladesh | Energy poverty | Machine learning | Multidimensional energy poverty index (MEPI) | Rural-urban disparities | Socio-demographic determinants | Bangladesch | Armut | Poverty | Energieversorgung | Energy supply | Künstliche Intelligenz | Artificial intelligence | Energiepolitik | Energy policy | Armutsbekämpfung | Poverty reduction |
| Type of publication: | Article |
|---|---|
| Type of publication (narrower categories): | Aufsatz in Zeitschrift ; Article in journal |
| Language: | English |
| Other identifiers: | 10.1016/j.seps.2025.102213 [DOI] |
| Source: | ECONIS - Online Catalogue of the ZBW |
Persistent link: https://www.econbiz.de/10015427683