TrSo-BHARAT-V1 Recommender Model: Toward Eco-friendly Energy Based on Optimal Installation for Solar Hydrogen Production

Abstract

Amidst the drive for a sustainable future and the rising worries about climate change. Furthermore, the need for clean, non-polluting energy sources has become a worldwide concern due to the environmental problems brought on by the ongoing usage of fossil fuels, which are the primary cause of global warming. Evidently have recently been several methods for producing hydrogen with fuel that comes from both non-renewable and renewable sources. Hence, this study is embracing the notion of generating hydrogen energy might be a viable approach to generating energy sustainably. Accordingly, the modern techniques are harnessing for constructing robust recommender model for analyzing and evaluating the possible sites for solar hydrogen production and estimating the optimal site. The evaluation process is conducted through analyzing a set of factors and sub-factors. Hence, we are leveraging Tree soft approach (TrSoA) for modelling these factors and sub-factors into nodes are resident into levels. Moreover, the best Holistic Adaptable Ranking of Attributes Technique (BHARAT) is utilized for evaluating candidates of sites based on factors and sub-factors which modelled into TrSoA. Finally, the modern two techniques are merged for constructing tree soft recommender model (TrSoReM) towaed recommend optimal site for solar hydrogen production.