Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems

A hands-on and current review of data mining and analysis and their applications to power and energy systems

In Intelligent Data Mining and Analysis in Power and Energy Systems: Models and Applications for Smarter Efficient Power Systems, the editors assemble a team of distinguished engineers to deliver a practical and incisive review of cutting-edge information on data mining and intelligent data analysis models as they relate to power and energy systems. You'll find accessible descriptions of state-of-the-art advances in intelligent data mining and analysis and see how they drive innovation and evolution in the development of new technologies.

The book combines perspectives from authors distributed around the world with expertise gained in academia and industry. It facilitates review work and identification of critical points in the research and offers insightful commentary on likely future developments in the field. It also provides:

• A thorough introduction to data mining and analysis, including the foundations of data preparation and a review of various analysis models and methods
• In-depth explorations of clustering, classification, and forecasting
• Intensive discussions of machine learning applications in power and energy systems
• Insightful treatments of related applications, including vibration elimination in transmission lines and the design of power distribution networks

Perfect for power and energy systems designers, planners, operators, and consultants, Intelligent Data Mining and Analysis in Power and Energy Systems will also earn a place in the libraries of software developers, researchers, and students with an interest in data mining and analysis problems.

在《智能電力與能源系統中的數據挖掘和分析：用於更智能高效電力系統的模型和應用》一書中，編者們匯集了一支傑出的工程師團隊，提供了一個實用且深入的數據挖掘和智能數據分析模型的最新資訊，並將其應用於電力和能源系統。本書對智能數據挖掘和分析的最新進展進行了易於理解的描述，並展示了它們如何推動新技術的創新和演進。

本書匯集了來自世界各地的作者的觀點，他們在學術界和工業界獲得了豐富的專業知識。它有助於審查工作和確定研究中的關鍵點，並對該領域的未來發展提供了有見地的評論。本書還提供了以下內容：

- 對數據挖掘和分析的全面介紹，包括數據準備的基礎知識和各種分析模型和方法的評論
- 對聚類、分類和預測的深入探討
- 對機器學習在電力和能源系統中的應用進行詳細討論
- 對相關應用的深入探討，包括消除傳輸線振動和電力分配網絡設計

這本書非常適合電力和能源系統的設計師、規劃師、運營商和顧問，同時也適合軟件開發人員、研究人員和對數據挖掘和分析問題感興趣的學生閱讀。

Zita Vale, PhD, is a Full Professor in the Electrical Engineering Department at the School of Engineering of the Polytechnic of Porto and Director of the GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development. She is the Chair of the IEEE PES Working Group on Intelligent Data Mining and Analysis.

Tiago Pinto, PhD, is an Assistant Professor at the University of Trás-os-Montes e Alto Douro, and a senior researcher at INESC-TEC, Portugal. During the development of this book he was with the GECAD Research Group on Intelligent Engineering and Computing for Advanced Innovation and Development.

Michael Negnevitsky, PhD, is the Chair Professor in Power Engineering and Computational Intelligence, and Director of the Centre for Renewable Energy and Power Systems of the University of Tasmania, Australia.

Ganesh Kumar Venayagamoorthy, PhD, is the Duke Energy Distinguished Professor of Electrical and Computer Engineering at Clemson University. He is a Fellow of the IEEE, Institution of Engineering and Technology, South African Institute of Electrical Engineers and Asia-Pacific Artificial Intelligence Association.

Zita Vale博士是波爾圖理工學院工程學院電機工程系的正教授，也是智能工程和計算高級創新和發展的GECAD研究小組的主任。她是IEEE PES智能數據挖掘和分析工作組的主席。

Tiago Pinto博士是特拉斯-奧斯-蒙特斯和阿爾托杜羅大學的助理教授，也是葡萄牙INESC-TEC的高級研究員。在撰寫本書期間，他隸屬於GECAD智能工程和計算高級創新和發展的研究小組。

Michael Negnevitsky博士是塔斯馬尼亞大學可再生能源和電力系統中心的主席教授，也是電力工程和計算智能的主任。

Ganesh Kumar Venayagamoorthy博士是克萊姆森大學電氣和計算機工程的杜克能源傑出教授。他是IEEE、工程技術學會、南非電機工程師學會和亞太人工智能協會的會士。