Forecasting short term wind energy generation using machine learning
statement of authorship
Noman Shabbir, Roya AhmadiAhangar, Lauri Kütt, Muhamamd N. Iqbal, Argo Rosin
location of publication
Danvers
publisher
year of publication
pages
4 p
conference name, date
2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), October 7-9, 2019
conference location
Riga, Latvia
ISBN
978-1-7281-3942-5
notes
Bibliogr.: 19 ref
TTÜ department
language
inglise
subject term
keyword
Shabbir, N., Ahmadiahangar, R., Kütt, L., Iqbal, M. N., Rosin, A. Forecasting short term wind energy generation using machine learning // 2019 IEEE 60th International Scientific Conference on Power and Electrical Engineering of Riga Technical University (RTUCON), 7-9 October 2019 : conference proceedings. Danvers : IEEE, 2019. 4 p.