Smart grids powered by artificial intelligence have emerged as a potentially game-changing method for enhancing the dependability and durability of electricity networks. This article examines the incorporation of AI technologies into power infrastructures, with a focus on sophisticated sensing and monitoring systems, data analytics, machine learning algorithms, and decentralized control mechanisms. The benefits of artificial intelligence- enabled smart grids include improved energy management, increased grid reliability, and reduced environmental impact. Data privacy and security concerns, the incorporation of new technologies such as blockchain and the Internet of Things, and the need for standardization are just a few of the hurdles that must be surmounted. Case studies illustrate AI's successful application in optimizing demand response, predictive maintenance, and integrating renewable energy. Integrating artificial intelligence with new technologies, bolstering privacy and security, refining large-scale deployment, and evaluating economic and policy ramifications are all promising avenues for future research. The results emphasize the potential role of intelligent infrastructure facilitated by artificial intelligence in the transition to sustainable power systems.


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    Titel :

    Artificial Intelligence - Enabled Smart Grids: Enhancing Efficiency and Sustainability


    Beteiligte:


    Erscheinungsdatum :

    22.11.2023


    Format / Umfang :

    279265 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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