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 Chopra, Gaurika; Jacob, Lija Title A name given to the resource Smart Intelligence Perspective and Integrating AI with the Power System Date A point or period of time associated with an event in the lifecycle of the resource 01-01-2025 Source A related resource from which the described resource is derived Power Systems;Volume;Part F914;pp.1-17 Identifier An unambiguous reference to the resource within a given context <a href="https://doi.org/10.1007/978-3-031-89459-6_1" target="_blank" rel="noreferrer noopener">https://doi.org/10.1007/978-3-031-89459-6_1</a> <br /><br /><a href="https://www.scopus.com/pages/publications/105018013423?origin=resultslist" target="_blank" rel="noreferrer noopener">https://www.scopus.com/pages/publications/105018013423?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 Chopra G., Christ University, School of Sciences, Pune, Lavasa, India; Jacob L., Christ University, School of Sciences, Pune, Lavasa, India Description An account of the resource The confluence of Artificial Intelligence (AI) and energy frameworks has become a focal point in contemporary research, driven by the imperative to innovate and advance our energy systems. The book chapter delves into the nuanced relationship between AI and these systems, highlighting its opportunities for improved performance, resilience, and environmental conservation. Central to this exploration is the elucidation of AIs transformative potential in energy dynamics, spanning areas such as machine learning, deep learning, neural architectures, and foresight modelling. The chapter portrays diverse AI-driven applications, emphasising their transformative capabilities in steering energy strategies. Insights into the multifaceted advantages of integrating AI into energy frameworks are presented, stressing augmented stability, amplified efficiency, fiscal savings, and forward-thinking outage resolutions. Based on real-world examples, the research highlights the value of integrating AI into energy strategies. It also identifies new paradigms in the evolving energy landscape that will shape our energy future. This underscores AIs crucial role in driving energy transformations and calls for collaboration among academia, decision-makers, and industry leaders to create a greener, more efficient energy path. The importance of data analytics in managing power system data, enabling insights into consumption trends, and assisting in making educated decisions is also covered in this chapter. In order to ensure a responsible and secure implementation, the ethical and privacy issues associated with AI deployment in the power sector are also addressed. Furthermore, the chapter elaborates on the prospective trajectory of AI within Power Systems, elucidating its involvement in quantum computing, edge computing, and the incorporation of IoT to facilitate Microgrid Management. The Author(s), under exclusive license to Springer Nature Switzerland AG 2025. Subject The topic of the resource AI-driven applications; Artificial Intelligence (AI); Contemporary research; Edge computing; Energy frameworks; Environmental conservation; Foresight modelling; Microgrid Management; Quantum computing Publisher An entity responsible for making the resource available Springer Science and Business Media Deutschland GmbH Relation A related resource ISSN: 16121287; 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