Data-Driven Energy Management and Tariff Optimization in Power Systems
暫譯: 數據驅動的能源管理與電力系統的費率優化

Arasteh, Hamidreza

Data-Driven Energy Management and Tariff Optimization in Power Systems
  • 出版商: Wiley
  • 出版日期: 2025-10-28
  • 售價: $5,060
  • 貴賓價: 9.5 折 $4,807
  • 語言: 英文
  • 頁數: 288
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1394290276
  • ISBN-13: 9781394290277
  • 相關分類: 熱力學 Thermodynamics

    • 海外代購書籍(需單獨結帳)

商品描述

Presents a comprehensive guide to transforming power systems through data

Data-Driven Energy Management and Tariff Optimization in Power Systems offers an authoritative examination of how data science is reshaping the energy landscape. As the electricity sector grapples with increasing complexity, this timely volume responds to a growing demand for adaptive strategies that enable accurate forecasting, intelligent tariff design, and optimized resource allocation, underpinned by advanced analytics and machine learning.

Drawing on global expertise and real-world case studies, the authors bridge the theoretical and practical dimensions of energy systems management, providing deep insight into how data collected from smart meters, SCADA systems, and IoT devices can be mined for predictive modeling, demand response, and peak load management. The book's accessible structure and didactic approach make it suitable for a wide readership, while its breadth of topics ensures relevance across the spectrum of energy challenges.

Integrating rigorous analysis with application-oriented strategies, this book:

  • Presents advanced techniques in machine learning, predictive modeling, and pattern recognition tailored to energy management and tariff design
  • Provides accessible explanations of complex algorithms through a didactic and visual teaching style, including informative tables and illustrations
  • Highlights tools for grid stability, demand forecasting, and peak load management using high-resolution energy data
  • Addresses the integration of renewable energy sources into existing infrastructures through data-driven optimization

Designed for a broad audience, Data-Driven Energy Management and Tariff Optimization in Power Systems is ideal for upper-level undergraduate and graduate courses in energy management, power systems analytics, and smart grids as part of electrical engineering or energy policy programs. It is also an essential reference for power system engineers, energy analysts, researchers, and policymakers involved in grid planning and optimization.

商品描述(中文翻譯)

提供一個全面的指南，透過數據轉型電力系統
數據驅動的能源管理與電力系統的費率優化 提供了一個權威的檢視，探討數據科學如何重塑能源格局。隨著電力行業面臨日益複雜的挑戰，這本及時的著作回應了對於能夠進行準確預測、智能費率設計和優化資源配置的適應性策略的日益需求，這些策略以先進的分析和機器學習為基礎。

作者借助全球專業知識和實際案例研究，將能源系統管理的理論與實踐維度相結合，深入洞察如何從智能電表、SCADA 系統和物聯網設備收集的數據中挖掘出預測建模、需求響應和峰值負載管理的潛力。這本書的結構易於理解，教學方法直觀，適合廣泛的讀者群，而其涵蓋的主題範圍確保了在各種能源挑戰中的相關性。

本書將嚴謹的分析與應用導向的策略相結合，具體內容包括：


  • 介紹針對能源管理和費率設計的機器學習、高級預測建模和模式識別的先進技術

  • 通過直觀和視覺化的教學風格，提供對複雜算法的易懂解釋，包括資訊表格和插圖

  • 強調使用高解析度能源數據的電網穩定性、需求預測和峰值負載管理工具

  • 通過數據驅動的優化，解決可再生能源來源與現有基礎設施的整合問題

數據驅動的能源管理與電力系統的費率優化 旨在面向廣泛的讀者群，特別適合電機工程或能源政策課程中的高年級本科生和研究生課程。它也是電力系統工程師、能源分析師、研究人員和參與電網規劃與優化的政策制定者的重要參考資料。

作者簡介

Hamidreza Arasteh is an Assistant Professor in the Power Systems Operation and Planning Research Department at the Niroo Research Institute, Tehran, Iran, and a Research Assistant at the Center for Research on Microgrids (CROM), Huanjiang Laboratory, Zhuji, Shaoxing, Zhejiang, China . He specializes in energy management, smart grids, microgrids, and electricity markets, with numerous research contributions in energy management and the integration of data analytics into power system operations.

Pierluigi Siano is a Professor and Scientific Director of the Smart Grids and Smart Cities Laboratory at the University of Salerno, Italy. A Senior Member of IEEE, his research focuses on demand response, distributed energy resources, and power system planning. He serves on editorial boards for several prestigious journals in the field.

Niki Moslemi is Head of the Power Systems Operation and Planning Research Department at the Niroo Research Institute in Tehran, Iran. She brings decades of experience in power quality, load forecasting, system resiliency, and data-driven energy strategies. Her leadership and research span multiple high-impact projects within the energy sector.

Josep M. Guerrero is with Zhejiang university, Hangzhou, Zhejiang, China, a Director of the Center for Research on Microgrids (CROM), Huanjiang Laboratory, Zhuji, Shaoxing, China, and a Distinguished Senior Researcher at the Department of Electrical Engineering, University of Valladolid, Spain. His research interests include various aspects of microgrids, including power electronics and distributed energy resources.

作者簡介(中文翻譯)

哈米德雷扎·阿拉斯特赫是伊朗德黑蘭尼魯研究所（Niroo Research Institute）電力系統運行與規劃研究部的助理教授，以及中國浙江省紹興市諸暨市環江實驗室微電網研究中心（Center for Research on Microgrids, CROM）的研究助理。他專注於能源管理、智慧電網、微電網和電力市場，在能源管理和數據分析整合到電力系統運行方面有著眾多的研究貢獻。

皮爾盧伊吉·西亞諾是意大利薩萊諾大學智慧電網與智慧城市實驗室的教授及科學主任。他是IEEE的高級會員，研究重點在於需求響應、分散式能源資源和電力系統規劃。他在多本該領域的知名期刊擔任編輯委員會成員。

尼基·莫斯萊米是伊朗德黑蘭尼魯研究所電力系統運行與規劃研究部的負責人。她在電力品質、負載預測、系統韌性和數據驅動的能源策略方面擁有數十年的經驗。她的領導和研究涵蓋了能源領域內多個高影響力的項目。

約瑟普·M·格雷羅在中國浙江省杭州市的浙江大學任職，是中國浙江省紹興市諸暨市環江實驗室微電網研究中心（Center for Research on Microgrids, CROM）的主任，以及西班牙巴利亞多利德大學電氣工程系的傑出高級研究員。他的研究興趣包括微電網的各個方面，包括電力電子學和分散式能源資源。

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