English | 2021 | ISBN: 9781003147213 | 93 pages | True PDF | 2.72 M
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 eeering.
Efficient processing and accuracy of Big Data in the load forecast in power eeering leads to a significant improvement in the consumption pattern of the client and, implicitly, a better consumer awareness. At the same , new energy services and new lines of business can be developed.
The book will be of interest to electrical eeers, power eeers, and energy services professionals.
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