A geospatial clustering algorithm and its integration into a techno-economic rural electrification planning model-Reference-Cited by-同舟云学术

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A geospatial clustering algorithm and its integration into a techno-economic rural electrification planning model

Published:2024-11 Issue: Volume:137 Page:109249
ISSN:0952-1976
Container-title:Engineering Applications of Artificial Intelligence
language:en
Short-container-title:Engineering Applications of Artificial Intelligence

Author:

Torres-Pérez Mirelys^ORCID,Domínguez Javier^ORCID,Arribas Luis^ORCID,Amador Julio,Ciller Pedro,González-García Andrés

Publisher

Elsevier BV

Reference99 articles.

1. How effective are heuristic solutions for electricity planning in developing countries;Abdul-Salam;Soc. Econ. Plann. Sci.,2016

2. The politico-economics of electricity planning in developing countries: a case study of Ghana;Abdul-Salam;Energy Pol.,2016

3. A survey of clustering algorithms for graph data;Aggarwal,2010

4. The k-means algorithm: a comprehensive survey and performance evaluation;Ahmed;Electronics,2020

5. Rural electrification: an overview of optimization methods;Akbas;Renew. Sustain. Energy Rev.,2022

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