UCL Discovery Stage
UCL home » Library Services » Electronic resources » UCL Discovery Stage

Rwandan Pay-As-You-Go Solar Home System User Payment Behavioural Types

Mergulhao, Vasco; Capra, Licia; Voglitsis, Kostas; Parikh, Priti; (2022) Rwandan Pay-As-You-Go Solar Home System User Payment Behavioural Types. In: 2022 IEEE PES/IAS PowerAfrica. IEEE: Kigali, Rwanda. Green open access

[thumbnail of Mergulhao_Rwandan Pay-As-You-Go Solar Home System User Payment Behavioural Types _ eXpress Approved.pdf]
Preview
Text
Mergulhao_Rwandan Pay-As-You-Go Solar Home System User Payment Behavioural Types _ eXpress Approved.pdf - Accepted Version

Download (286kB) | Preview

Abstract

The pay-as-you-go (PAYGo) model is now the principal way through which solar home systems (SHSs) are distributed in Sub-Saharan Africa. By alleviating the upfront cost and providing flexible payment schemes, the PAYGo model helps tackle what is still the main barrier for SHS adoption-i.e., affordability. However, the scheme’s design and evaluation are still largely guided by assumptions on user behaviour. This work provides a first evidence-based look into SHS PAYGo user payment patterns and behaviours, by using payment records of over 32,000 Rwandan SHS users. Three clustering algorithms are implemented to conduct a customer segmentation, employing an ensemble validation method which facilitates qualitative oversight. The analysis reveals five user payment behavioural profiles which serve to aid improvement in the current PAYGo model design.

Type: Proceedings paper
Title: Rwandan Pay-As-You-Go Solar Home System User Payment Behavioural Types
Event: 2022 IEEE PES/IAS PowerAfrica
Dates: 22 Aug 2022 - 26 Aug 2022
Open access status: An open access version is available from UCL Discovery
DOI: 10.1109/powerafrica53997.2022.9905300
Language: English
Additional information: This version is the author accepted manuscript. For information on re-use, please refer to the publisher’s terms and conditions.
Keywords: Analytical models , Costs , Clustering algorithms , Africa, solar home system , pay-as-you-go , user behaviour , customer segmentation , clustering
UCL classification: UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Civil, Environ and Geomatic Eng
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of the Built Environment
URI: https://discovery-pp.ucl.ac.uk/id/eprint/10157597
Downloads since deposit
1,957Downloads
Download activity - last month
Download activity - last 12 months
Downloads by country - last 12 months

Archive Staff Only

View Item View Item