A Novel Geo-Intelligent Framework for Personalized Rooftop Solar Panel Recommendation and Installer Integration

A Novel Geo-Intelligent Framework for Personalized Rooftop Solar Panel Recommendation and Installer Integration | 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 A Novel Geo-Intelligent Framework for Personalized Rooftop Solar Panel Recommendation and Installer Integration Hareesh S S, Keerthana M G, Karthick V This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-7842337/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 The aim of this research is to create a smart system for recommending solar panels type and mapping certified installers to speed up residential solar adoption in India. Homeowners face multiple challenges like lack of awareness, trouble choosing the best panels, and limited access to government-approved installation services. Our system uses a mix of rules and geospatial mapping to provide personalized solar panel suggestions based on roof features, location, weather and panel details. It also connects users with the closest certified installation centers. We build a ruleset for panel type recommendation using solar irradiance data and GIS-based proximity analysis for installer placement. The system runs in a mobile app, with backend support and a structured database. We validate our approach through simulated case studies and a pilot survey involving 155 households, checking for alignment of thought-process. The system’s hybrid recommendation engine achieved 95.7% accuracy in panel type prediction. These methods offer a scalable way to close information gaps and logistical hurdles in residential solar installation. Renewable Energy Solar Panel Installer Mapping Geographic Recommendation engine Households 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-7842337","acceptedTermsAndConditions":true,"allowDirectSubmit":true,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":530151203,"identity":"f860cc62-f0a3-40ce-99d8-ae4d7102ecd2","order_by":0,"name":"Hareesh S 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