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
Daniel, Kamran
Shabbir, Noman
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
Electronics
special issue
Selected Papers from Young Researchers in Energy Systems and Management
publisher
MDPI
journal volume number month
vol. 11, 24
year of publication
2022
pages
art. 4193
url
https://doi.org/10.3390/electronics11244193
subject term
tuuleenergia
taastuvad energiaallikad
tehisnärvivõrgud
algoritmid
keyword
wind energy
Bat algorithm (BA)
cascaded forward neural network (CFNN)
feedforward neural network (FFNN)
hybrid PSO and BA (HPSOBA)
particle swarm optimization (PSO)
ISSN
2079-9292
Open Access
Open Access
scientific publication
teaduspublikatsioon
classifier
1.1
Scopus
Journal metrics at Scopus
Article at Scopus
WOS
Journal metrics at WOS
Article at WOS
category (general)
Engineering
en
Tehnika
et
Computer science
en
Arvutiteadus
et
category (sub)
Engineering. Control and systems engineering
en
Tehnika. Juhtimis- ja süsteemitehnika
et
Engineering. Electrical and electronic engineering
en
Tehnika. Elektri- ja elektroonikatehnika
et
Computer science. Computer networks and communications
en
Arvutiteadus. Arvutivõrgud ja side
et
Computer science. Signal processing
en
Arvutiteadus. Signaalitöötlus
et
Computer science. Hardware and architecture
en
Arvutiteadus. Riistvara ja arhitektuur
et
kvartiil
Q2
TTÜ department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Uurimisrühm
Fundamentals of electrical engineering
Smart city research group