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    Glasgow climate change conference (COP26) and its implications in sub-Sahara Africa economies
    (Elsevier, 2023) Adedoyin, Festus Fatai; Bekun, Festus Victor; Hossain, Md. Emran; Ofori, Elvis kwame; Gyamfi, Bright Akwasi; Haseki, Murat İsmet
    Alternative energy has been hailed as a feasible resolution to the environmental degradation and energy problems that have plagued Sub-Saharan Africa (SSA) recently. The expansion of the clean energy sector, on the other hand, relies on economic growth, effective governance, and financial considerations. As a result, it is important to investigate the links between these variables in SSA. This study investigated the influence of economic growth, institutional quality, foreign direct investment (FDI), and financial development on renewable energy at the national threshold in SSA using a two-step difference GMM model based on panel data collected from 2002 to 2019. The outcome shows that economic growth and all three financial development indicators (FD1, FD2 and FD3) have a positive significant relationship with renewable energy. Furthermore, for SSA countries, FDI, as well as all six proxy factors for institutional quality, had a negative significant influence on renewable energy. Our empirical findings propose a variety of policies that might help the renewable energy sector grow.
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    Machine Learning Applications in Renewable Energy (MLARE) Research: A Publication Trend and Bibliometric Analysis Study (2012–2021)
    (MDPI, 2023) Ajibade, Samuel-Soma M.; Bekun, Festus Victor; Adedoyin, Festus Fatai; Gyamfi, Bright Akwasi; Adediran, Anthonia Oluwatosin
    This study examines the research climate on machine learning applications in renewable energy (MLARE). Therefore, the publication trends (PT) and bibliometric analysis (BA) on MLARE re search published and indexed in the Elsevier Scopus database between 2012 and 2021 were examined. The PT was adopted to deduce the major stakeholders, top-cited publications, and funding organi zations on MLARE, whereas BA elucidated critical insights into the research landscape, scientific developments, and technological growth. The PT revealed 1218 published documents compris ing 46.9% articles, 39.7% conference papers, and 6.0% reviews on the topic. Subject area analysis revealed MLARE research spans the areas of science, technology, engineering, and mathematics among others, which indicates it is a broad, multidisciplinary, and impactful research topic. The most prolific researcher, affiliations, country, and funder are Ravinesh C. Deo, National Renewable Energy Laboratory, United States, and the National Natural Science Foundation of China, respectively. The most prominent journals on the top are Applied Energy and Energies, which indicates that journal reputation and open access are critical considerations for the author’s choice of publication outlet. The high productivity of the major stakeholders in MLARE is due to collaborations and research funding support. The keyword co-occurrence analysis identified four (4) clusters or thematic areas on MLARE, which broadly describe the systems, technologies, tools/technologies, and socio-technical dynamics of MLARE research. Overall, the study showed that ML is critical to the prediction, operation, and optimization of renewable energy technologies (RET) along with the design and development of RE-related materials.