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Machine learning and deep learning techniques for wind energy forecasting

author
Shabbir, Noman
statement of authorship
Noman Shabbir
source
19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III” : Tartu, Estonia, January 14-17, 2020
location of publication
Tallinn
publisher
Tallinn University of Technology
year of publication
2020
pages
p. 95-96 : ill
conference name, date
19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III”, January 14-17, 2020
conference location
Tartu
url
https://www.ester.ee/record=b5291755*est
subject term
tuuleenergia
ISBN
978-9949-83-518-8
TTÜ department
inseneriteaduskond
language
inglise
Shabbir, N. Machine learning and deep learning techniques for wind energy forecasting // 19th International Symposium “Topical problems in the field of electrical and power engineering. Doctoral school of energy and geotechnology. III” : Tartu, Estonia, January 14-17, 2020. Tallinn : Tallinn University of Technology, 2020. p. 95-96 : ill. https://www.ester.ee/record=b5291755*est