Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniques

Manzoor Ellahi; Muhammad Rehan Usman; Waqas Arif; Hafiz Fuad Usman; Waheed A. Khan; Gandeva Bayu Satrya; Kamran Daniel; Noman Shabbir

doi:10.3390/electronics11244193

Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniques

Manzoor Ellahi
, Muhammad Rehan Usman
, Waqas Arif
, Hafiz Fuad Usman
, Waheed A. Khan
, Gandeva Bayu Satrya
, Kamran Daniel
, Noman Shabbir

Research output: Contribution to journal › Article › peer-review

Original language	English
Article number	4193
Journal	Electronics
Volume	11
Issue number	24
DOIs	https://doi.org/10.3390/electronics11244193
Publication status	Published - 15 Dec 2022

Bibliographical note

Note: This work was supported Estonian Research Council [grant no. PSG 739] and the European Commission through the H2020 FinEST Twins Grant [grant No. 856602].

Keywords

Computer science and informatics

Access to Document

10.3390/electronics11244193

https://doi.org/10.3390/electronics11244193

Cite this

@article{48496635769643709cb3b100650a32d0,

title = "Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniques",

keywords = "Computer science and informatics",

author = "Manzoor Ellahi and Usman, \{Muhammad Rehan\} and Waqas Arif and Usman, \{Hafiz Fuad\} and Khan, \{Waheed A.\} and Satrya, \{Gandeva Bayu\} and Kamran Daniel and Noman Shabbir",

note = "Note: This work was supported Estonian Research Council [grant no. PSG 739] and the European Commission through the H2020 FinEST Twins Grant [grant No. 856602].",

year = "2022",

month = dec,

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doi = "10.3390/electronics11244193",

language = "English",

volume = "11",

journal = "Electronics",

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publisher = "MDPI",

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T1 - Forecasting of wind speed and power through FFNN and CFNN using HPSOBA and MHPSO-BAACs techniques

AU - Ellahi, Manzoor

AU - Usman, Muhammad Rehan

AU - Arif, Waqas

AU - Usman, Hafiz Fuad

AU - Khan, Waheed A.

AU - Satrya, Gandeva Bayu

AU - Daniel, Kamran

AU - Shabbir, Noman

N1 - Note: This work was supported Estonian Research Council [grant no. PSG 739] and the European Commission through the H2020 FinEST Twins Grant [grant No. 856602].

PY - 2022/12/15

Y1 - 2022/12/15

KW - Computer science and informatics

U2 - 10.3390/electronics11244193

DO - 10.3390/electronics11244193

M3 - Article

SN - 2079-9292

VL - 11

JO - Electronics

JF - Electronics

IS - 24

M1 - 4193

ER -