Energy Management

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Energy Management

Big Data in Power Load Forecasting

Data science and analysis: general Energy, power generation, distribution and storage Machine learning

Author: Valentin A. Boicea

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Collection: CRC Press Focus Shortform Book Program

Language: English

Published by: CRC Press

Published on: 27th June 2021

Format: LCP-protected ePub

Size: 854 Kb

ISBN: 9781000437812


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.

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