<p>Energy storage technology (EST) is crucial in mitigating the environmental impact of energy storage and reducing carbon footprints. It is a vital component of renewable energy sources and decarbonization of world energy structures. The selection of a suitable EST depends on multiple aspects of sustainability; thus, the decision-making methods are a more proper way to systematically deal with this problem. Uncertainty is commonly occurred in the selection of a suitable EST. As a generalization of a fuzzy set, a single-valued neutrosophic set (SVNS) has been demonstrated as a useful framework for handling indeterminate, inconsistent, and uncertain data of realistic decision-making situations. Considering the idea of SVNS, this paper develops a hybrid multi-criteria group decision-making (MCGDM) approach to assess and prioritize ESTs over different qualitative and quantitative criteria. The proposed “simple weighted sum product (WISP)” method combines the Hellinger distance measure-based decision experts’ weighting tool and integrated criteria weight-determining model to deal the single-valued neutrosophic information (SVNI)-based MCGDM problems with completely unknown weights of decision experts (DEs) as well as defined criteria. To evade the drawbacks of extent distance measures, we introduce a novel single-valued neutrosophic Hellinger distance measure to compute the degree of discrimination on SVNSs. Some illustrative examples are taken to exemplify the efficiency of developed Hellinger distances over existing ones. Further, the developed Hellinger distance is utilized to derive the weight of DEs. In addition, the criteria weight-determining procedure is given by integrating objective weight through a “method based on the removal effects of criteria (MEREC)” and subjective weight through “ranking comparison (RANCOM)” under SVNI. Based on these models, a combined WISP approach is developed to rank the alternatives on SVNI. The proposed ranking framework is employed in an empirical study of the EST selection problem, which shows its practicality and feasibility. In this study, the evaluation criteria are categorized into technical, environmental, social, economic, and performance dimensions with the DEs’ opinions. Comparative and sensitivity analyses are made to approve the validity and stability of the developed ranking approach. The present study offers valuable insights for choosing multi-criteria EST under an indeterminate, inconsistent, and uncertain environment, which also expands the application scopes of the combined MEREC-SWARA-WISP method.</p>