Strategic feasibility outlook for blue energy investments using an integrated decision-making approach

IF 3.8 3区 计算机科学 Q1 COMPUTER SCIENCE, HARDWARE & ARCHITECTURE
Serkan Eti , Serhat Yüksel , Hasan Dinçer
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引用次数: 0

Abstract

Conducting feasibility analysis in blue energy investments is very critical to provide performance analysis of the projects. However, a significant portion of the studies in the literature focus on general energy projects. Nevertheless, there are not enough studies for a more specific area such as blue energy. This situation significantly increases the need for this type of priority analysis. Accordingly, the purpose of this study is to identify the most appropriate strategies to increase the effectiveness of the feasibility analysis of blue energy investments via a novel decision-making model. In the first stage of the model, the importance levels of experts are computed using machine learning technique. The second stage includes weighting the feasibility criteria set for blue energy project investment by Fermatean fuzzy entropy. After that, the strategic alternatives for increasing the capacity of blue energy projects are ranked with Fermatean fuzzy CoCoSo. The main contribution of this study to the literature is making a detailed evaluation to generate appropriate strategies for the feasibility analysis of the blue energy investments via a novel decision-making model. The integration of AI system provides some advantages to the proposed model. In this way, the decision matrix is obtained by calculating the importance weights of each expert. This situation allows to have more accurate analysis results. It is defined that the technological infrastructure of the company plays the most critical role (weight: 0.173) when conducting feasibility analysis for blue energy investments. Similarly, it is also identified that the financial performance of the business (weight: 0.172) is also important to conduct a more successful feasibility analysis for blue energy investments. On the other side, the ranking results demonstrate that collaborating with the investment-ready companies for increasing the innovative technologies is the most appropriate strategy to increase the capacity of blue energy projects.
基于综合决策方法的蓝色能源投资战略可行性展望
在蓝色能源投资中进行可行性分析对于提供项目绩效分析至关重要。然而,文献中的研究有很大一部分集中在一般能源项目上。然而,对于一个更具体的领域,如蓝色能量,还没有足够的研究。这种情况大大增加了对这类优先级分析的需求。因此,本研究的目的是通过一种新的决策模型来确定最合适的策略,以提高蓝色能源投资可行性分析的有效性。在模型的第一阶段,使用机器学习技术计算专家的重要程度。第二阶段是利用Fermatean模糊熵对蓝色能源项目投资可行性指标进行加权。在此基础上,利用Fermatean fuzzy CoCoSo对蓝色能源项目增加容量的战略方案进行排序。本研究对文献的主要贡献是通过一种新的决策模型对蓝色能源投资的可行性分析进行了详细的评估,以产生适当的策略。人工智能系统的集成为该模型提供了一些优势。这样,通过计算各专家的重要权重得到决策矩阵。这种情况允许有更准确的分析结果。在进行蓝色能源投资可行性分析时,定义公司的技术基础设施起着最关键的作用(权重:0.173)。同样,还确定了业务的财务绩效(权重:0.172)对于对蓝色能源投资进行更成功的可行性分析也很重要。另一方面,排名结果表明,与准备投资的公司合作增加创新技术是增加蓝色能源项目容量的最合适策略。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Sustainable Computing-Informatics & Systems
Sustainable Computing-Informatics & Systems COMPUTER SCIENCE, HARDWARE & ARCHITECTUREC-COMPUTER SCIENCE, INFORMATION SYSTEMS
CiteScore
10.70
自引率
4.40%
发文量
142
期刊介绍: Sustainable computing is a rapidly expanding research area spanning the fields of computer science and engineering, electrical engineering as well as other engineering disciplines. The aim of Sustainable Computing: Informatics and Systems (SUSCOM) is to publish the myriad research findings related to energy-aware and thermal-aware management of computing resource. Equally important is a spectrum of related research issues such as applications of computing that can have ecological and societal impacts. SUSCOM publishes original and timely research papers and survey articles in current areas of power, energy, temperature, and environment related research areas of current importance to readers. SUSCOM has an editorial board comprising prominent researchers from around the world and selects competitively evaluated peer-reviewed papers.
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