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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