Energy Management: Big Data in Power Load Forecasting
暫譯: 能源管理：大數據在電力負載預測中的應用

Boicea, Valentin A.

Energy Management: Big Data in Power Load Forecasting
  • 出版商: CRC
  • 出版日期: 2021-06-28
  • 售價: $2,550
  • 貴賓價: 9.5 折 $2,423
  • 語言: 英文
  • 頁數: 88
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 0367706164
  • ISBN-13: 9780367706166
  • 相關分類: 大數據 Big-data

    • 海外代購書籍(需單獨結帳)

商品描述

This book introduces the principle of carrying out a medium-term load forecast (MTLF) at power system level, based on the Big Data concept and Convolutionary Neural Network (CNNs). It also presents further research directions in the field of Deep Learning techniques and Big Data, as well as how these two concepts are used in power engineering.

Efficient processing and accuracy of Big Data in the load forecast in power engineering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same time, new energy services and new lines of business can be developed.

The book will be of interest to electrical engineers, power engineers, and energy services professionals.

商品描述(中文翻譯)

本書介紹了在電力系統層面進行中期負載預測（MTLF）的原理，基於大數據概念和卷積神經網絡（CNNs）。此外，還提出了在深度學習技術和大數據領域的進一步研究方向，以及這兩個概念在電力工程中的應用。

在電力工程中，對大數據的高效處理和準確性在負載預測中能顯著改善客戶的消費模式，並隱含地提高消費者的意識。同時，還可以開發新的能源服務和新的商業模式。

本書將對電機工程師、電力工程師和能源服務專業人士感興趣。

作者簡介

Adrian-Valentin Boicea, a former PhD student at Politecnico di Torino, Italy, received the BS in electrical engineering and electrical power systems from the University Politehnica of Bucharest (UPB), Romania. Currently, he is a Lecturer within the Department of Electrical Power Systems at the UPB. His research interests include the distributed generation systems, energy efficiency, renewable sources, the operational research algorithms used in power engineering, as well as Big Data analysis applied in the energy sector.

作者簡介(中文翻譯)

Adrian-Valentin Boicea，曾是義大利都靈理工大學的博士生，獲得羅馬尼亞布加勒斯特理工大學（University Politehnica of Bucharest, UPB）電機工程及電力系統的學士學位。目前，他是UPB電力系統系的講師。他的研究興趣包括分散式發電系統、能源效率、可再生能源、在電力工程中使用的運籌學算法，以及應用於能源領域的大數據分析。

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