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AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications examines the cutting-edge solution that combines artificial intelligence (AI), blockchain technology, and digital twin concepts to innovate the management and optimization of electrical power distribution. This innovative approach enhances the resilience, efficiency, and security of electricity grids while providing real-time insights for grid operators and stakeholders. The book covers such key elements as using: Digital twins in smart grids to gather real-time data from various grid components AI-powered analytics to process the data generated by digital twins and to analyze this information to detect patterns, predict grid failures, and recommend adjustments to enhance a grid’s performance Blockchain-based security to ensure the secure and transparent management of data within a smart grid, especially a tamper-resistant ledger to store information related to energy production, distribution, and consumption Decentralized data sharing to allow grid data to be shared securely among various stakeholders, including utilities, regulators, and consumers Grid optimization techniques to improve electricity distribution, reduce energy waste, and balance supply and demand efficiently Select real-world case studies and practical examples demonstrate how AI and blockchain are currently being applied to enhance grid management, energy distribution, and sustainability. By explaining to researchers, academics, and students how AI and blockchain can revolutionize electricity distribution and make grids smarter, more secure, and environmentally friendly, the book points to a future where grid operators, regulators, and consumers will benefit from real-time data and a resilient, efficient energy ecosystem.
This is a digital product.
AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications 1st Edition is written by Amit Kumar Tyagi and published by Auerbach Publications (T&F). The Digital and eTextbook ISBNs for AI and Blockchain in Smart Grids are 9781040327104, 1040327109 and the print ISBNs are 9781032812960, 1032812966. Additional ISBNs for this eTextbook include 9781040327098, 9781003500391.

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