Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniques
author
Ellahi, Manzoor
Usman, Muhammad Rehan
Arif, Waqas
Usman, Hafiz Fuad
Khan, Waheed A.
Satrya, Gandeva Bayu
statement of authorship
Manzoor Ellahi, Muhammad Rehan Usman, Waqas Arif, Hafiz Fuad Usman, Waheed A. Khan, Gandeva Bayu Satrya, Kamran Daniel and Noman Shabbir
source
special issue
Selected Papers from Young Researchers in Energy Systems and Management
publisher
journal volume number month
vol. 11, 24
year of publication
pages
art. 4193
ISSN
2079-9292
Open Access
Open Access
scientific publication
teaduspublikatsioon
language
inglise
subject term
keyword
Bat algorithm (BA)
cascaded forward neural network (CFNN)
feedforward neural network (FFNN)
hybrid PSO and BA (HPSOBA)
classifier
kvartiil
TTÜ department
Ellahi, M., Usman, M. R., Arif, W., Usman, H. F., Khan, W. A., Satrya, G. B., Daniel, K., Shabbir, N. Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniques // Electronics (2022) vol. 11, 24, art. 4193.