Optimizing renewable energy investments using artificial intelligence-based multi-facet fuzzy decision models

Abstract Improving the performance of renewable energy projects is significant in the global energy transformation process. However, there is no consensus in the literature on which technical indicators are more determinant in these projects, making it difficult for investors and policy makers to ma...

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Auteurs principaux:	Hasan Dinçer, Serhat Yüksel, Tamer Aksoy, Ümit Hacıoğlu
Format:	Artigo
Langue:	Inglês
Publié:	Nature Portfolio 2026-03-01
Collection:	Scientific Reports
Sujets:	Dynamic multi facet fuzzy sets Parameter-driven artificial expert evaluations Principal component ranking optimization Renewable energy projects Energy investments Technical indicators
Accès en ligne:	https://doi.org/10.1038/s41598-026-41164-4
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