Smart Cyber-Physical Power Systems, Volume 2
暫譯: 智慧型網路物理電力系統，第二卷
Parizad, Ali
- 出版商: Wiley
- 出版日期: 2025-03-25
- 售價: $4,700
- 貴賓價: 9.5 折 $4,465
- 語言: 英文
- 頁數: 624
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1394334567
- ISBN-13: 9781394334568
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商品描述
A practical roadmap to the application of artificial intelligence and machine learning to power systems
In an era where digital technologies are revolutionizing every aspect of power systems, Smart Cyber-Physical Power Systems, Volume 2: Solutions from Emerging Technologies shifts focus to cutting-edge solutions for overcoming the challenges faced by cyber-physical power systems (CPSs). By leveraging emerging technologies, this volume explores how innovations like artificial intelligence, machine learning, blockchain, quantum computing, digital twins, and data analytics are reshaping the energy sector.
This volume delves into the application of AI and machine learning in power system optimization, protection, and forecasting. It also highlights the transformative role of blockchain in secure energy trading and digital twins in simulating real-time power system operations. Advanced big data techniques are presented for enhancing system planning, situational awareness, and stability, while quantum computing offers groundbreaking approaches to solving complex energy problems.
For professionals and researchers eager to harness cutting-edge technologies within smart power systems, Volume 2 proves indispensable. Filled with numerous illustrations, case studies, and technical insights, it offers forward-thinking solutions that foster a more efficient, secure, and resilient future for global energy systems, heralding a new era of innovation and transformation in cyber-physical power networks.
Welcome to the exploration of Smart Cyber-Physical Power Systems (CPPSs), where challenges are met with innovative solutions, and the future of energy is shaped by the paradigms of AI/ML, Big Data, Blockchain, IoT, Quantum Computing, Information Theory, Edge Computing, Metaverse, DevOps, and more.商品描述(中文翻譯)
人工智慧與機器學習在電力系統應用的實用路線圖
在數位技術徹底改變電力系統各個方面的時代，智慧網路物理電力系統，第二卷：來自新興技術的解決方案 將焦點轉向克服網路物理電力系統 (CPSs) 所面臨挑戰的尖端解決方案。藉由利用新興技術，本卷探討了人工智慧、機器學習、區塊鏈、量子計算、數位雙胞胎和數據分析等創新如何重塑能源領域。
本卷深入探討人工智慧和機器學習在電力系統優化、保護和預測中的應用。它還強調了區塊鏈在安全能源交易中的變革性角色，以及數位雙胞胎在模擬即時電力系統操作中的重要性。提出了先進的大數據技術，以增強系統規劃、情境意識和穩定性，而量子計算則提供了解決複雜能源問題的突破性方法。
對於渴望在智慧電力系統中利用尖端技術的專業人士和研究人員來說，第二卷是不可或缺的。書中充滿了大量插圖、案例研究和技術見解，提供前瞻性的解決方案，促進全球能源系統更高效、安全和韌性的未來，預示著網路物理電力網路創新與轉型的新時代。
歡迎探索智慧網路物理電力系統 (CPPSs)，在這裡挑戰以創新解決方案應對，能源的未來由人工智慧/機器學習、大數據、區塊鏈、物聯網、量子計算、信息理論、邊緣計算、元宇宙、DevOps 等範式塑造。
作者簡介
Ali Parizad, PhD, is a Postdoctoral Associate at the Advanced Research Institute (ARI) of Virginia Polytechnic Institute and State University, VA, USA. Leveraging his extensive academic background, he served as a Senior Data Scientist in the IDA Data Science & Machine Learning (DSML) Department at Shell Energy. He holds the position of Staff Power Systems Machine Learning Engineer at Thinklabs AI, where he tackles critical challenges in power systems with cutting-edge AI applications.
Hamid Reza Baghaee, PhD, is an Associate Research Professor at Amirkabir University of Technology, Tehran, Iran.
Saifur Rahman, PhD, is the founding director of the Advanced Research Institute at Virginia Tech, where he is the Joseph R. Loring Professor of Electrical and Computer Engineering.
作者簡介(中文翻譯)
阿里·帕里扎德 (Ali Parizad), PhD, 是美國維吉尼亞理工學院高級研究所 (Advanced Research Institute, ARI) 的博士後研究員。憑藉其廣泛的學術背景，他曾擔任殼牌能源 (Shell Energy) 數據科學與機器學習 (Data Science & Machine Learning, DSML) 部門的高級數據科學家。他目前在 Thinklabs AI 擔任員工電力系統機器學習工程師，專注於利用尖端的人工智慧應用解決電力系統中的關鍵挑戰。
哈米德·雷扎·巴哈伊 (Hamid Reza Baghaee), PhD, 是伊朗德黑蘭阿米爾卡比爾科技大學 (Amirkabir University of Technology) 的副研究教授。
賽夫爾·拉赫曼 (Saifur Rahman), PhD, 是維吉尼亞理工學院高級研究所的創始主任，同時擔任電機與計算機工程的約瑟夫·R·洛林教授 (Joseph R. Loring Professor)。
