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Energy Management : Big Data in Power Load Forecasting PDF

82 Pages·2021·2.6664 MB·other
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by Valentin A. Boicea| 2021| 82 pages| 2.6664| other

About Energy Management : Big Data in Power Load Forecasting

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.

Detailed Information

Author:Valentin A. Boicea
Publication Year:2021
ISBN:367706164
Pages:82
Language:other
File Size:2.6664
Format:PDF
Price:FREE
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