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
https://www.scopus.com/sourceid/21100829272
https://www.scopus.com/record/display.uri?eid=2-s2.0-85144846058&origin=inward&txGid=3b93950a78f4e5ad310f9c178977b636
WOS
https://jcr.clarivate.com/jcr-jp/journal-profile?journal=ELECTRONICS-SWITZ&year=2022
https://www.webofscience.com/wos/woscc/full-record/WOS:000902653600001
category (general)
Engineering
Tehnika
Computer science
Arvutiteadus
category (sub)
Engineering. Control and systems engineering
Tehnika. Juhtimis- ja süsteemitehnika
Engineering. Electrical and electronic engineering
Tehnika. Elektri- ja elektroonikatehnika
Computer science. Computer networks and communications
Arvutiteadus. Arvutivõrgud ja side
Computer science. Signal processing
Arvutiteadus. Signaalitöötlus
Computer science. Hardware and architecture
Arvutiteadus. Riistvara ja arhitektuur
quartile
Q2
TalTech department
elektroenergeetika ja mehhatroonika instituut
language
inglise
Reserch Group
Fundamentals of electrical engineering
Smart city research group