| dc.contributor.author | Abdul-Salam, Yakubu | |
| dc.contributor.author | Phimister, Euan | |
| dc.date.accessioned | 2017-10-28T23:01:18Z | |
| dc.date.available | 2017-10-28T23:01:18Z | |
| dc.date.issued | 2016-09 | |
| dc.identifier.citation | Abdul-Salam , Y & Phimister , E 2016 , ' How effective are heuristic solutions for electricity planning in developing countries ' , Socio-Economic Planning Sciences , vol. 55 , pp. 14-24 . https://doi.org/10.1016/j.seps.2016.04.004 | en |
| dc.identifier.other | PURE: 65788325 | |
| dc.identifier.other | PURE UUID: 8e2378a7-122a-4e24-be59-1d07eff18959 | |
| dc.identifier.other | Scopus: 84964826720 | |
| dc.identifier.other | ORCID: /0000-0002-5784-4576/work/62171584 | |
| dc.identifier.other | ORCID: /0000-0002-6483-0113/work/79417661 | |
| dc.identifier.uri | http://hdl.handle.net/2164/9521 | |
| dc.description | Acknowledgement The first author would like to acknowledge the University of Aberdeen and the Henderson Economics Research Fund for funding his PhD studies in the period 2011-2014 which formed the basis for the research presented in this paper. The first author would also like to acknowledge the Macaulay Development Trust which funds his postdoctoral fellowship with The James Hutton Institute, Aberdeen, Scotland. The authors thank two anonymous referees for valuable comments and suggestions on earlier versions of this paper. All usual caveats apply | en |
| dc.format.extent | 11 | |
| dc.language.iso | eng | |
| dc.relation.ispartof | Socio-Economic Planning Sciences | en |
| dc.rights | © 2016. This manuscript version is made available under the CC-BY-NC-ND 4.0 license http://creativecommons.org/licenses/by-nc-nd/4.0/ | en |
| dc.subject | electricity | en |
| dc.subject | algorithms | en |
| dc.subject | mixed integer programming | en |
| dc.subject | grid/off-grid | en |
| dc.subject | Monte Carlo simulation | en |
| dc.subject | Parshall et al algorithm | en |
| dc.subject | HB Economic Theory | en |
| dc.subject.lcc | HB | en |
| dc.title | How effective are heuristic solutions for electricity planning in developing countries | en |
| dc.type | Journal article | en |
| dc.contributor.institution | University of Aberdeen.Economics | en |
| dc.contributor.institution | University of Aberdeen.Energy | en |
| dc.contributor.institution | University of Aberdeen.Centre for Energy Transition | en |
| dc.description.status | Peer reviewed | en |
| dc.description.version | Postprint | en |
| dc.identifier.doi | https://doi.org/10.1016/j.seps.2016.04.004 | |
| dc.date.embargoedUntil | 2017-10-28 | |
| dc.identifier.vol | 55 | en |
