Akademik Veri Yönetim Sistemi
Journal of Energy Storage, cilt.129, 2025 (SCI-Expanded, Scopus)
Green energy storage investments are critical for ensuring the efficient and sustainable utilization of renewable energy sources. However, improving all variables affecting these investments is neither cost-effective nor practical. Therefore, there is a great need for the prioritization of the most impactful factors. However, there are few studies in the literature to define the most significant indicators regarding this subject. This deficiency may cause businesses to implement wrong strategies, reducing the financial efficiency of projects. This study presents a novel decision-making model to identify and prioritize these factors to address this significant gap in the literature. By employing the zero-shot learning (ZSL) technique, 12,557 academic articles are analyzed. In this process, 17 initial indicators are reduced to 8 critical criteria. The Pythagorean fuzzy skewness impact through distributional evaluation (SITDE) technique is considered to calculate the importance weights of these criteria. Furthermore, the alternative ranking using two-step logarithmic normalization (ARLON) method is applied to rank five Scandinavian countries based on their performance in green energy storage investments. By integrating innovative methodologies, this research offers a robust framework for improving the efficiency of green energy storage investments while minimizing project risks and resource inefficiencies. Considering ZSL and Pythagorean fuzzy numbers helps to handle uncertainties more effectively in comparison with the similar approaches in the literature. SITDE method performs a more sensitive analysis based on distribution characteristics while determining the weight of each criterion. By considering the ARLON technique in the alternative ranking, a two-stage logarithmic transformation can be used. This contributes to the balancing of excessive differences between the criteria values. The most effective criteria in green energy storage investments are found as storage capacity (weight: 0.163) and charge and discharge times (weight: 0.157). Moreover, Sweden (ranking value: 0.295) and Norway (ranking value: 0.253) as the most successful countries for the performance of these projects.