Energy Management (PDF)
Big Data in Power Load Forecasting
(Sprache: Englisch)
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...
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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.
Autoren-Porträt von Valentin A. Boicea
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.
Bibliographische Angaben
- Autor: Valentin A. Boicea
- 2021, 1. Auflage, 92 Seiten, Englisch
- Verlag: Taylor & Francis
- ISBN-10: 100043768X
- ISBN-13: 9781000437683
- Erscheinungsdatum: 27.06.2021
Abhängig von Bildschirmgrösse und eingestellter Schriftgrösse kann die Seitenzahl auf Ihrem Lesegerät variieren.
eBook Informationen
- Dateiformat: PDF
- Grösse: 2.66 MB
- Ohne Kopierschutz
- Vorlesefunktion
Sprache:
Englisch
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