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Energy Management: Big Data in Power Load Forecasting (CRC Press Focus Shortform Book Program) - Softcover

Boicea, Valentin A.

 
9780367706623: Energy Management: Big Data in Power Load Forecasting (CRC Press Focus Shortform Book Program)
Softcover
ISBN 10: 0367706628 ISBN 13: 9780367706623
Verlag: CRC Press, 2024

Inhaltsangabe

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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Über die Autorin bzw. den Autor

Adrian–Valentin Boicea, a former PhD student at Politecnico di Torino, Italy, received the BS in electrical engineering and electrical power systems from the University Politehnica of Bucharest (UPB), Romania. Currently, he is a Lecturer within the Department of Electrical Power Systems at the UPB. His research interests include the distributed generation systems, energy efficiency, renewable sources, the operational research algorithms used in power engineering, as well as Big Data analysis applied in the energy sector.

Von der hinteren Coverseite

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 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.

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Verlag
CRC Press
Erscheinungsdatum
2024
Sprache
Englisch
ISBN 10 
0367706628
ISBN 13 
9780367706623
Einband
Taschenbuch
Anzahl der Seiten
92
Kontakt zum Hersteller
Taylor & Francis Verlag GmbH
GPSR@taylorandfrancis.com

Kaufingerstraße 24
München
80331
Deutschland