A bibliometric analysis of solar energy forecasting studies in Africa

dc.contributor.authorZwane, Nosipho Ntombani
dc.contributor.authorTazvinga, Henerica
dc.contributor.authorBotai, Christina
dc.contributor.authorMurambadoro, Miriam
dc.contributor.authorBotai, Joel Ongego
dc.contributor.authorDe Wit, Jaco
dc.contributor.authorMabasa, Brighton
dc.contributor.authorDaniel, Siphamandla
dc.contributor.authorMabhaudhi, Tafadzwanashe
dc.date.accessioned2023-06-07T05:16:52Z
dc.date.available2023-06-07T05:16:52Z
dc.date.issued2022-07-29
dc.description.abstractSolar energy forecasting is considered an essential scientific aspect in supporting efforts to integrate solar energy into power grids. Moreover, solar energy forecasting plays an essential role in mitigating greenhouse gas emissions and conserving energy for future use. This study conducted a bibliometric analysis to assess solar energy forecasting research studies evolution at the continental (Africa) and southern Africa levels. Key aspects of analysis included (i) scientific research trends, (ii) nature of collaboration networks, (iii) co-occurrence of keywords and (iv) emerging themes in solar energy forecasting over the last two decades, between the years 2000–2021. The results indicate that solar energy forecasting research has, on average, expanded by 6.4% and 3.3% in Africa and southern Africa, respectively. Based on the study context, solar energy forecasting research only gained momentum in 2015, peaking in 2019, but it is generally still subtle. The scientific mapping illustrated that only South Africa ranks among the leading countries that have produced high numbers of published documents and also leads in contributions to the research area in both Africa and southern Africa. Three emerging topics were identified from the thematic map analysis— namely, “solar irradiance”, “artificial intelligence” and “clear sky”, which implies that researchers are paying attention to solar irradiance, using modelling techniques that incorporate machine learning techniques. Overall, this study contributes to scientific information on the potential bankability of renewable energy projects that could assist power utilities, governments and policymakers in Africa to enforce the green economy through accelerated decarbonisation of the energy systems and building relationships with developed countries for support and better transitioning to solar energy. From a Water–Energy–Food nexus perspective, the results of this work could assist the scientific community in Africa to take advantage of the inherent interconnectedness of water, energy and food resources, whilst also advancing the use of integrated solutions to shape the focus of solar energy research into a more systems thinking and transdisciplinary approach involving the interconnected primary resources and stakeholders pursuit of the Sustainable Development Goals.en_US
dc.description.departmentGeography, Geoinformatics and Meteorologyen_US
dc.description.librarianam2023en_US
dc.description.sponsorshipThe Water Research Commission of South Africa and the National Research Foundation of South Africa.en_US
dc.description.urihttps://www.mdpi.com/journal/energiesen_US
dc.identifier.citationZwane, N.; Tazvinga, H.; Botai, C.; Murambadoro, M.; Botai, J.; de Wit, J.; Mabasa, B.; Daniel, S.; Mabhaudhi, T. A Bibliometric Analysis of Solar Energy Forecasting Studies in Africa. Energies 2022, 15, 5520. https://doi.org/10.3390/en15155520.en_US
dc.identifier.issn1996-1073 (online)
dc.identifier.other10.3390/ en15155520
dc.identifier.urihttp://hdl.handle.net/2263/91043
dc.language.isoenen_US
dc.publisherMDPIen_US
dc.rights© 2022 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.en_US
dc.subjectBibliometric reviewen_US
dc.subjectEmerging topicsen_US
dc.subjectCurrent trendsen_US
dc.subjectLow-carbon economyen_US
dc.subjectThematic map analysisen_US
dc.titleA bibliometric analysis of solar energy forecasting studies in Africaen_US
dc.typeArticleen_US

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