Towards novel deep neuroevolution models : chaotic levy grasshopper optimization for short-term wind speed forecasting

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Towards novel deep neuroevolution models : chaotic levy grasshopper optimization for short-term wind speed forecasting

Year of publication

2022

Authors

Jalali, Seyed Mohammad Jafar; Ahmadian, Sajad; Khodayar, Mahdi; Khosravi, Abbas; Ghasemi, Vahid; Shafie-khah, Miadreza; Nahavandi, Saeid; Catalão, João P. S.

Organizations and authors

University of Vaasa

Shafiekhah Miadreza Orcid -palvelun logo

Publication type

Publication format

Article

Parent publication type

Journal

Article type

Original article

Audience

Scientific

Peer-reviewed

Peer-Reviewed

MINEDU's publication type classification code

A1 Journal article (refereed), original research

Publication channel information

Journal

Engineering with computers

Volume

38

Issue

Suppl. 3

Pages

1787-1811

ISSN

0177-0667

​Publication forum

55280

​Publication forum level

1

Open access

Open access in the publisher’s service

No

Open access of publication channel

Partially open publication channel

Self-archived

Yes

License of the self-archived publication

Muu lisenssi

Other information

Fields of science

Electronic, automation and communications engineering, electronics

Keywords

Deep neuroevolution; long short-term memory; Wind speed forecasting

Publication country

United Kingdom

Internationality of the publisher

International

Language

English

International co-publication

Yes

Co-publication with a company

No

DOI

10.1007/s00366-021-01356-0

The publication is included in the Ministry of Education and Culture’s Publication data collection

Yes
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