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 Shoran, Preety; Nain, Ajay; Malik, Rohit; Sheikh, Sophiya Title A name given to the resource A Comprehensive Review of IoT, Intelligent Systems, and Computing Applications in Enhancing Renewable Energy Sources 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 Applications of Intelligent Technologies in Renewable Energy;pp.149-181 Identifier An unambiguous reference to the resource within a given context <a href="https://www.scopus.com/pages/publications/105031761635?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105031761635?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 Shoran P., School of Sciences, CHRIST (Deemed to be University), Uttar Pradesh, Ghaziabad, 201003, India; Nain A., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India; Malik R., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India; Sheikh S., School of Computer Applications, Lovely Professional University, Punjab, Phagwara, 144411, India Description An account of the resource This chapter provides a thorough examination of the application of the Internet of Things (IoT), intelligent systems, and advanced computing in enhancing the effectiveness and sustainability of renewable energy sources such as wind, ocean, hydro, and solar energies. This study explores the incorporation of real-time monitoring, predictive maintenance, and energy forecasting facilitated by the Internet of Things (IoT) and intelligent systems. The integration of artificial intelligence (AI)-based analytics and cloud computing methodologies significantly improves the process of decision-making, grid management, and optimization of energy storage. This analysis highlights the significant impact of recent technological breakthroughs and case studies on the transformation of renewable energy generation and management, ultimately contributing to the development of a sustainable and intelligent energy landscape. 2026 River Publishers. Subject The topic of the resource Artificial intelligence; Cloud computing; energy forecasting; intelligent systems; Internet of Things Publisher An entity responsible for making the resource available River Publishers Relation A related resource ISBN: 978-874380983-8; 978-874380984-5; 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