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Revolutionizing Energy Systems with Smart Grid Solutions
Abstract
This paper explores the revolutionizing impact of AI-driven engineering on energy systems through smart grid solutions. Through case studies and research insights, it investigates how artificial intelligence is transforming traditional energy practices, including generation, distribution, and consumption. The study highlights the application of AI techniques such as machine learning, optimization algorithms, and demand response systems in enhancing efficiency, reliability, and sustainability in energy networks. Additionally, it discusses the integration of AI with renewable energy sources, energy storage systems, and electric vehicle charging infrastructure to enable grid modernization, grid-edge intelligence, and decentralized energy management in smart grids. The paper also addresses challenges such as grid cybersecurity, regulatory framework, and grid resilience in the adoption of AI-driven engineering solutions in energy systems. It emphasizes the importance of interdisciplinary collaboration, stakeholder engagement, and policy support in leveraging AI's potential to revolutionize energy systems and accelerate the transition to a clean and resilient energy future.
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References
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