]> 2026-04-14T13:24:59+02:00 OnSSET 0 Andreas Sahlberg, Alexandros Korkovelos, Dimitrios Mentis, Babak Khavari, Mark Howells, Holger Rogner, Christopher Arderne, Oliver Broad, Manuel Welsch, Francesco Fuso Nerini, Julian Cantor 10.1016/j.esd.2015.09.007 Mentis, Dimitrios; Welsch, Manuel; Fuso Nerini, Francesco; Broad, Oliver; Howells, Mark; Bazilian, Morgan; Rogner, Holger (December 2015). "A GIS-based approach for electrification planning: a case study on Nigeria". Energy for Sustainable Development. 29: 142–150. doi:10.1016/j.esd.2015.09.007. ISSN 0973-0826. Andreas Sahlberg Open Source Spatial Electrification Tool Settlement level true MIT license (MIT) Optimization Technologies selected based on lowest Levelized Cost of Electricity (LCOE) for each settlement Cost minimization true Python transmission distribution false true Python IEA World Energy Outlook 2014, 2015, 2019, 2021, 2022, IEA and World Bank Global Tracking Framework 2015 Electricity Renewables Conventional Generation OnSSET has been designed for identifying least-cost technology options to electrify areas presently unserved by grid-based electricity and to estimate associated investment needs related to electrification. OnSSET uses energy-related data and information on a geographical basis such as settlement sizes and locations, distances from existing and planned transmission network, power plants, economic activity, local renewable energy flows,road network, nighttime light etc. Multi year 2016-12-06T23:44:26Z 2457729.4891898 2025-10-02T17:53:56Z 2460951.245787 false OnSSET ONSSET 0 102