Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Title A name given to the resource Faculty Publications Book Chapter Faculty Publications- Book Chapter Dublin Core The Dublin Core metadata element set is common to all Omeka records, including items, files, and collections. For more information see, http://dublincore.org/documents/dces/. Creator An entity primarily responsible for making the resource Pandey, Vijaishree Dubey; Shukla, Yashi; Solanki, Shashank; Singh, Sheetal Title A name given to the resource AI and Multimedia Integration for Smart Mining and Renewable Energy Sustainability Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2026 Source A related resource from which the described resource is derived Multimedia and AI Applications for Sustainable Smart Mining and Energy;pp.485-516 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.4018/979-8-3373-4942-8.ch017" target="_blank" rel="noreferrer noopener">https://doi.org/10.4018/979-8-3373-4942-8.ch017</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105032595414?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105032595414?origin=resultslist</a> Coverage The spatial or temporal topic of the resource, the spatial applicability of the resource, or the jurisdiction under which the resource is relevant Pandey V.D., Christ University, India; Shukla Y., Christ University, India; Solanki S., Christ University, India; Singh S., Christ University, India Description An account of the resource This chapter focuses on how Artificial Intelligence (AI) and multimedia technologies are used to encourage sustainable smart mining and renewable energy optimization. AI boosts the accuracy in planning energy, smart grid use and supporting the management of demand, which saves money. The use of AI, predictive maintenance, geospatial analytics, and real- time monitoring in mining ensures optimisation of resource extraction and insignificant impacts on the environment. The research is powered by the international case studies and the initiatives of the private sector and points out the transformational impact AI can and is making in the sphere of operational efficiencies and sustainable industrial development in the spheres of energy and mining industries. 2026 by IGI Global Scientific Publishing. All rights reserved. Publisher An entity responsible for making the resource available IGI Global Relation A related resource ISBN: 979-833734944-2; 979-833734942-8; Language A language of the resource English Type The nature or genre of the resource Book chapter Rights Information about rights held in and over the resource Restricted Access; Hardcopy may be available in the library Format The file format, physical medium, or dimensions of the resource online