{"title":"From screens to grids: A web scrapping analysis of electricity access in sub-Saharan Africa","authors":"Pius Gamette , Simplice A. Asongu","doi":"10.1016/j.tej.2025.107472","DOIUrl":"10.1016/j.tej.2025.107472","url":null,"abstract":"<div><div>In view of the lagging position of sub-Saharan Africa (SSA) compared to other regional blocs in accessing electricity coupled with the wide disparity in rural-urban access to electricity, this study adopts the scrapping method to efficiently gather and analyse social discourse in real time. From the YouTube platform, this study examined 887 comments from January 2014 to July 2024. The result revealed that \"ANC,\" \"Africa,\" \"south,\" \"power,\" and \"will\" were the most frequently discussed topics in the discourse of electricity access. Also, more positive-tone comments were recorded than negative-tone remarks within the period. In terms of subjective polarity analysis, comments were positively inclined. The top ten topics that emerged were “ANC”, “Energy”, “People”, “Country”, “Government”, “Electricity”, “Eskom”, “Africa”, “Power” and “South”. The heatmap showed that there were a few topics with high correlation values. For cluster analysis, “South”, “Country”, “Eskom”, “Power” and “Energy” had positive sentiments and contents. On the contrary, “Government”, “Africa” and “People” were topics of negative sentiments and contents. Only “ANC” connected neutral sentiments and content. “ANC”, “Africa” and “country” had an 81.77 % degree of centrality in the public digital discourse on access to electricity in SSA countries. This study has important ramifications for SSA, an energy-poor region towards achieving Sustainable Development Goal (SDG) 7.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 2","pages":"Article 107472"},"PeriodicalIF":0.0,"publicationDate":"2025-05-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"144106347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Electric mobility investments: Insights from power-transport coupling from developing countries","authors":"Wale Arowolo, Mamadou Diallo, Yannick Perez","doi":"10.1016/j.tej.2025.107473","DOIUrl":"10.1016/j.tej.2025.107473","url":null,"abstract":"<div><div>Electric mobility seems promising for the decarbonisation of the power and transport sectors. Nonetheless, making investment decisions on electric mobility in developing countries remains topical in policy and academic debate. This paper contributes to the transport and power sector coupling debate to understand investment decision-making on electric mobility. We propose a framework and identify developing countries that could be considered for private-sector investment in electric mobility. We validate our framework with case studies on investments in electric mobility in China, Brazil, India, Colombia, Türkiye and Chile. We argue that developing countries with wholesale power markets, and wholesale and retail power markets could attract investment in electric mobility, albeit with a proliferation of low total cost of ownership electric mobility investment options such as two and three-electric wheelers and investments such as electric buses perceived to have notable contributions to achieving environmental/climate objectives. Thus, we argue that our framework and analyses could be helpful for policymakers and stakeholders in the power and transport sectors to identify and select developing countries for private sector-led electric mobility investment.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 2","pages":"Article 107473"},"PeriodicalIF":0.0,"publicationDate":"2025-05-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143941312","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Powering agricultural revival: How solar-based irrigation is transforming Northeast Syria's war-torn fields","authors":"Elkhan Richard Sadik-Zada , Sultan Jalabi","doi":"10.1016/j.tej.2025.107471","DOIUrl":"10.1016/j.tej.2025.107471","url":null,"abstract":"<div><div>This study examines the impact of solar-powered irrigation on agricultural recovery in the Abadan sub-district of northeast Syria, a region severely affected by war and drought. The research evaluates five dimensions of agricultural recovery: profitability, productivity, job creation effects, investment attraction, and household expenditures. The analysis, conducted using propensity score matching, indicates that solar-powered irrigation significantly enhances agricultural profitability, with solar users earning an average of $20.42 more per acre compared to diesel users (p = 0.001). Wheat productivity showed a modest increase from 0.151 to 0.179 tons per acre, though the difference was statistically insignificant (p = 0.365). Similarly, solar-based farms generated an average of 87.42 working days per year, compared to 75.30 days for diesel-based farms, but this difference was also not statistically significant (p = 0.60). Despite these mixed outcomes, the study highlights a significant shift towards the cultivation of summer crops, such as cotton, facilitated by more reliable water supply provided by solar-powered irrigation. These findings emphasize the importance of targeted interventions, including the promotion of advanced irrigation techniques and financial support for infrastructure development. Such measures are critical for maximizing the benefits of solar-based irrigation and ensuring broader, more sustainable agricultural recovery in the region.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 2","pages":"Article 107471"},"PeriodicalIF":0.0,"publicationDate":"2025-04-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143855971","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Increasing the resilience of electricity networks: Auctioning of priority supply to minimize outage costs","authors":"Anna Pechan, Gert Brunekreeft, Martin Palovic","doi":"10.1016/j.tej.2025.107470","DOIUrl":"10.1016/j.tej.2025.107470","url":null,"abstract":"<div><div>This article presents an approach to minimize outage costs during power supply disruptions and, thus, to incentivize efficient resilience investment by network users. It serves as an initial contribution to creating incentives for greater resilience in the energy system. The central problem to be solved is the information asymmetry between network operators and network users in terms of outage and backup costs. We present an auction of priority positions among network users by applying the Vickrey-Clarke-Groves mechanism, using a numerical example, to solve this problem. Priority positions imply an externality: the priority of one user means that others are reconnected later and incur higher costs. Under this mechanism, each winning bidder pays for the externality exerted on the other bidders by holding a certain position, excluding one’s own bid, which induces truthful bidding. By minimizing the damage from power supply interruptions, the mechanism improves the resilience of the power system not only in the short term but also in the long term.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 2","pages":"Article 107470"},"PeriodicalIF":0.0,"publicationDate":"2025-04-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143817167","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Joshua D. Simulcik , Fabian E. Villalobos , Morgan D. Bazilian
{"title":"Electrification of the joint force: Challenges and opportunities for competition in the Pacific and Arctic theaters","authors":"Joshua D. Simulcik , Fabian E. Villalobos , Morgan D. Bazilian","doi":"10.1016/j.tej.2025.107458","DOIUrl":"10.1016/j.tej.2025.107458","url":null,"abstract":"<div><div>Operational energy is, and will continue to be, critical to success in the Department of Defense’s priority operating environments. The DoD is facing several challenges that call for the joint force to transform its concepts of operational energy including growing demand for energy services on the battlefield stemming from larger quantities of more capable equipment, large theaters with long and complex supply lines, and dispersed operational concepts. To meet these challenges, the DoD will have to find ways to expand the portfolio of its energy sources, continue to refine its supply chains and delivery mechanisms for energy services, improve efficiency across systems, and maintain a focus on costs. This paper will focus on the electrification of aspects of operational energy within the joint force as a means of increasing the effectiveness and efficiency of energy at all levels of warfighting. Of most relevance to electrification are technologies related to the military functions of logistics, transportation, weapons, and communications. We consider the various options, challenges, and opportunities of electrification for the US military.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 1","pages":"Article 107458"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143150171","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"How income and price changes affect the electricity demand? Evidence from Türkiye’s residential sector","authors":"İsmail Kavaz","doi":"10.1016/j.tej.2025.107459","DOIUrl":"10.1016/j.tej.2025.107459","url":null,"abstract":"<div><div>This study undertakes a comprehensive analysis of the income and price elasticities of residential electricity demand for Türkiye, spanning from 1980 to 2018. By employing the Structural Time Series Modelling method, the short- and long-run factors of income elasticities are found as 0.20 and 0.32, while the corresponding price parameters are determined as −0.08 for the short-term and −0.14 in the long-term, respectively. These elasticity estimations are crucial for informing policy-making processes, particularly in strategizing for the residential sector in Türkiye. The inelastic nature of these estimates, being less than 1, suggests that electricity constitutes a necessary commodity within the residential sector of Türkiye. It implies a limited sensitivity of consumers to fluctuations in price and income, indicating that changes in these factors do not significantly alter residential electricity demand in Türkiye. Additionally, this study extends its insights by providing forecasts for residential electricity demand. The projections indicate that by the year 2030, the electricity demand within Türkiye’s residential sector is projected to range between 90 and 106 Terawatt-hours (TWh). This forecasted data serves as an essential tool for future planning and policy development in the context of residential electricity consumption.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 1","pages":"Article 107459"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143150172","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Assessing the impact of rural electrification on gender inequality in rural India: A state-level analysis","authors":"Tanaya Saha","doi":"10.1016/j.tej.2025.107460","DOIUrl":"10.1016/j.tej.2025.107460","url":null,"abstract":"<div><div>Electricity has an unswerving impact on financial sustainability of a country; hence, everybody must have equal access to electricity. However, in a developing country like India, the inequality in electricity distribution intensifies in the rural areas and gets further skewed with respect to gender. The skewness is owing to the differential gender needs. The study has attempted to empirically analyze the impact of rural electrification on gender inequality across rural areas of 36 Indian states and union territories over 2015–2019. Gender inequality is measured through the ratio of female and male rural labor force participation, while rural literacy gap and self-help group loans are taken as controls. The analysis is carried out at the aggregate level, followed by segregation based on presence or absence of women police stations, geographical regions, and quantiles. The results show that although rural electrification and other drivers of gender inequality can have positive impact on achieving rural gender equality in rural India, there is need of policies that can help in maximizing use of electrification.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 1","pages":"Article 107460"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143436893","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Practical energy equity decision making in resource-constrained communities: A case study in the Navajo Nation","authors":"Abhiroop Chattopadhyay , Ann-Perry Witmer","doi":"10.1016/j.tej.2025.107456","DOIUrl":"10.1016/j.tej.2025.107456","url":null,"abstract":"<div><div>There is an increasing recognition of the central role of energy equity and social justice in energy planning. Governments, utilities, planners, and the research community are working to advance a more nuanced understanding of energy equity, involving distributive, procedural, recognitional, and restorative aspects. Complete energy equity requires a holistic understanding of all these aspects, and energy planning should attempt to address them simultaneously. In practice, this can be challenging in contexts where the available pool of human and economic resources is limited. This article presents a case study of a community within the Navajo Nation to illustrate the challenges and implications in such contexts. The first challenge is the inevitable prioritization and compartmentalization of decision making due to the constraints imposed by the planners’ primary mandates, authority, place-based contextual factors, and available resources. The second – related – challenge is the impact of the resulting decisions on realized outcomes, and its effects on the community perceptions of – and confidence in – the planning institutions. The case study also finds that equity concerns of the utility’s end-customers may not always be uniform and are influenced by the customers’ perspectives, roles, responsibilities, and expectations. Thus, a more holistic view of energy planning is necessary to 1) capture the variations of equity opinions and priorities across all stakeholders, 2) to ensure that decisions and resource allocations by utilities, elected bodies, or governmental agencies occur on multiple fronts in a coordinated and transparent manner to advance energy equity targets.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 1","pages":"Article 107456"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143151178","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Short-term load forecasting with deep learning: Improving performance with post-training specialization","authors":"Igor Westphal","doi":"10.1016/j.tej.2024.107449","DOIUrl":"10.1016/j.tej.2024.107449","url":null,"abstract":"<div><div>Load forecasting has increasingly relied on deep learning models due to their ability to capture complex non-linear relationships. However, these models require substantial amounts of data for effective training. Data sparsity during peak load periods can degrade the performance of deep learning models to the point that they under-perform much simpler models. To address this issue, this paper proposes a post-training specialization method in which several copies of the original deep learning model are retrained for specific forecasting tasks. Results indicate an increase in performance in all baseline models used in this paper, and the method can potentially improve the forecasting of current applications at a low computational cost.</div></div>","PeriodicalId":35642,"journal":{"name":"Electricity Journal","volume":"38 1","pages":"Article 107449"},"PeriodicalIF":0.0,"publicationDate":"2025-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143150170","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}