Akademik Veri Yönetim Sistemi
Environment, Development and Sustainability, 2026 (SCI-Expanded, Scopus)
Energy poverty remains a critical global challenge, requiring innovative and cost-effective strategies to address it. It is characterized by limited access to affordable, reliable, and sustainable energy services. Despite its significance, the literature lacks sufficient studies prioritizing the factors contributing to this issue. This study aims to identify effective strategies to minimize the problem of energy poverty, a significant global challenge. The research investigates the factors contributing to energy poverty and prioritizes them to propose cost-effective and innovative solutions. Firstly, importance levels of the experts are calculated via dimension reduction algorithm. Secondly, the criteria weights are computed with qth rung root orthopair fuzzy sets (q-RROFS) criteria importance through intercriteria correlation (CRITIC). Thirdly, strategy alternatives to handle energy poverty are ranked by using q-RROFS grey relational analysis (GRA). The main contribution of this study is to identify appropriate strategies to minimize energy poverty problem by creating a new model. Finding solutions for handing energy poverty problem without having too much cost is the main theoretical contribution of this study. Furthermore, the consideration of q-RROFS numbers is one of the biggest novelties of the proposed model. The calculation of the importance weights of the experts is another issue that adds superiority to the model. The analysis results denote that the most important factor affecting energy poverty is inadequate infrastructure. Additionally, it is concluded that the most suitable strategies for improving energy poverty are smart grid technologies and establishing energy cooperatives.