AI and Blockchain in Smart Grids: Fundamentals, Methods, and Applications
暫譯: 智慧電網中的人工智慧與區塊鏈:基礎、方法與應用
Tiwari, Shrikant, Kumar Tyagi, Amit
- 出版商: Auerbach Publication
- 出版日期: 2025-03-28
- 售價: $8,370
- 貴賓價: 9.5 折 $7,952
- 語言: 英文
- 頁數: 351
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032812966
- ISBN-13: 9781032812960
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相關分類:
人工智慧、區塊鏈 Blockchain
尚未上市,無法訂購
商品描述
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.
商品描述(中文翻譯)
《智慧電網中的人工智慧與區塊鏈:基礎、方法與應用》探討了結合人工智慧(AI)、區塊鏈技術和數位雙胞胎概念的尖端解決方案,以創新電力分配的管理與優化。這種創新方法增強了電力網的韌性、效率和安全性,同時為電網操作員和利益相關者提供即時的見解。本書涵蓋了以下幾個關鍵要素:
- 在智慧電網中使用數位雙胞胎,從各種電網組件收集即時數據
- 利用AI驅動的分析來處理數位雙胞胎生成的數據,並分析這些信息以檢測模式、預測電網故障,並建議調整以提升電網性能
- 基於區塊鏈的安全性,以確保在智慧電網中安全且透明地管理數據,特別是防篡改的帳本用於儲存與能源生產、分配和消耗相關的信息
- 去中心化的數據共享,允許電網數據在各利益相關者之間安全共享,包括公用事業公司、監管機構和消費者
- 電網優化技術,以改善電力分配、減少能源浪費,並有效平衡供需
選擇的實際案例研究和實用範例展示了AI和區塊鏈如何當前應用於增強電網管理、能源分配和可持續性。通過向研究人員、學者和學生解釋AI和區塊鏈如何徹底改變電力分配,使電網變得更智能、更安全和更環保,本書指向了一個未來,電網操作員、監管機構和消費者將受益於即時數據和韌性、高效的能源生態系統。
作者簡介
Amit Kumar Tyagi is an assistant professor, Department of Fashion Technology, National Institute of Fashion Technology, New Delhi. He earned a PhD degree from Pondicherry Central University, India. He has worked as an assistant professor and senior researcher at the School of Computer Science and Engineering, Vellore Institute of Technology, Chennai, India. He is a regular member of the ACM and senior member of IEEE.
Shrikant Tiwari received a PhD degree from the Department of Computer Science & Engineering at the Indian Institute of Technology (Banaras Hindu University), Varanasi, India. Currently, he is an associate professor in the School of Computing Science and Engineering (SCSE), Galgotias University, Greater Noida, India. He has authored or co-authored more than 50 national and international journal publications, book chapters, and conference articles. He has five patents filed to his credit. His research interests include machine learning, deep learning, computer vision, medical image analysis, pattern recognition, and biometrics. Dr. Tiwari is a FIETE, a senior member of the IEEE, and member of ACM, IET, CSI, ISTE, IAENG, and SCIEI.
作者簡介(中文翻譯)
Amit Kumar Tyagi 是新德里國立時裝技術學院時裝技術系的助理教授。他在印度龐迪榭里中央大學獲得博士學位。他曾擔任印度金奈維洛爾科技學院計算機科學與工程學院的助理教授和高級研究員。他是ACM的正式會員及IEEE的高級會員。
Shrikant Tiwari 於印度瓦拉納西的印度理工學院(班納拉斯印度大學)計算機科學與工程系獲得博士學位。目前,他是印度大諾伊達Galgotias大學計算科學與工程學院(SCSE)的副教授。他已發表或共同發表超過50篇國內外期刊文章、書籍章節和會議論文。他擁有五項專利。他的研究興趣包括機器學習、深度學習、計算機視覺、醫學影像分析、模式識別和生物識別。Tiwari博士是FIETE、IEEE的高級會員,以及ACM、IET、CSI、ISTE、IAENG和SCIEI的會員。