Applying the ELECTRE III Method for Optimal Site Selection of a Solar Power Plant in Pythagorean Neutrosophic Programming

Applying the ELECTRE III Method for Optimal Site Selection of a Solar Power Plant in Pythagorean Neutrosophic Programming | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Applying the ELECTRE III Method for Optimal Site Selection of a Solar Power Plant in Pythagorean Neutrosophic Programming R. K. Saini, Ashik Ahirwar, M. Kasim This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-4450536/v1 This work is licensed under a CC BY 4.0 License Status: Posted Version 1 posted You are reading this latest preprint version Abstract India's 2030 renewable energy ambitions have been reduced from 500 gigawatts from non-fossil sources. India accepted its UNFCCC duties before the COP26 summit in Glasgow in November 2022, including the goal of reducing carbon emissions by one billion tons by the end of the decade. As a clean, affordable alternative, solar energy is being explored, therefore choosing the best site for a solar power plant (SSP) is vital. The study application handles imprecise, unclear, and uncertain criteria using preference neighborhood-elimination and choice translating reality (PN-ELECTRE) decision-making (DM). We tackle multi-criteria decision-making (MCDM) problems with imprecise or ambiguous data utilizing this technique. Group decision support and Pythagorean neutrosophic numbers (PNNs) are used in PN-ELECTRE III. A balanced decision-making method is needed to resolve SPP location ambiguity. The suggested DM support system smoothly integrated economic, social, environmental, and technological issues into two phases. The increased demand for renewable energy and the difficulty of finding suitable solar power facility sites prompted the research. The Bundelkhand region of India shows how the recommended technique might help policymakers and investors choose renewable energy. It effectively incorporates several criteria and overcomes inaccurate data. The study found that the proposed technique solves the SPP placement problem. Solar Power Plant Multi-Criteria Decision-Making Pythagorean Neutrosophic Numbers PN-ELECTRE-III Method Renewable Energy Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Posted Version 1 posted You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. We do this by developing innovative software and high quality services for the global research community. Our growing team is made up of researchers and industry professionals working together to solve the most critical problems facing scientific publishing. Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-4450536","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":307985031,"identity":"fa4d06e4-5b3b-4b42-bed9-c6794a640413","order_by":0,"name":"R. K. 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