Energy Management - Big Data in Power Load Forecasting (Hardcover)

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.

General

Imprint:	Crc Press
Country of origin:	United Kingdom
Series:	CRC Press Focus Shortform Book Program
Release date:	June 2021
First published:	2021
Authors:	Valentin A. Boicea
Dimensions:	216 x 138 x 12mm (L x W x T)
Format:	Hardcover
Pages:	82
ISBN-13:	978-0-367-70616-6
Categories:	Books > Professional & Technical > Energy technology & engineering > General Books > Science & Mathematics > Mathematics > Applied mathematics > Mathematical modelling Books > Science & Mathematics > Physics > Classical mechanics > General Books > Professional & Technical > Technology: general issues > Instruments & instrumentation engineering > General Books > Computing & IT > Applications of computing > Databases > General Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks Books > Computing & IT > Applications of computing > Image processing > General Books > Professional & Technical > Electronics & communications engineering > Electronics engineering > Automatic control engineering > General
LSN:	0-367-70616-4
Barcode:	9780367706166

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