A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation

Bibliographic Details
Published in:Renewable Energy
Main Authors: Hou, Guolian, Wang, Junjie, Fan, Yuzhen, Zhang, Jianhua, Huang, Congzhi
Other Authors: Liverpool School of Tropical Medicine, Fundamental Research Funds for the Central Universities
Format: Article in Journal/Newspaper
Language:English
Published: Elsevier BV 2024
Subjects:
Renewable Energy, Sustainability and the Environment
Northern Goshawk
Online Access:http://dx.doi.org/10.1016/j.renene.2024.120360
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spelling crelsevierbv:10.1016/j.renene.2024.120360 2024-05-19T07:45:58+00:00 A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation Hou, Guolian Wang, Junjie Fan, Yuzhen Zhang, Jianhua Huang, Congzhi Liverpool School of Tropical Medicine Fundamental Research Funds for the Central Universities 2024 http://dx.doi.org/10.1016/j.renene.2024.120360 https://api.elsevier.com/content/article/PII:S0960148124004257?httpAccept=text/xml https://api.elsevier.com/content/article/PII:S0960148124004257?httpAccept=text/plain en eng Elsevier BV https://www.elsevier.com/tdm/userlicense/1.0/ https://doi.org/10.15223/policy-017 https://doi.org/10.15223/policy-037 https://doi.org/10.15223/policy-012 https://doi.org/10.15223/policy-029 https://doi.org/10.15223/policy-004 Renewable Energy volume 226, page 120360 ISSN 0960-1481 Renewable Energy, Sustainability and the Environment journal-article 2024 crelsevierbv https://doi.org/10.1016/j.renene.2024.120360 2024-04-19T06:47:55Z Article in Journal/Newspaper Northern Goshawk ScienceDirect (Elsevier) Renewable Energy 226 120360
institution Open Polar
collection ScienceDirect (Elsevier)
op_collection_id crelsevierbv
language English
topic Renewable Energy, Sustainability and the Environment
spellingShingle Renewable Energy, Sustainability and the Environment
Hou, Guolian
Wang, Junjie
Fan, Yuzhen
Zhang, Jianhua
Huang, Congzhi
A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
topic_facet Renewable Energy, Sustainability and the Environment
author2 Liverpool School of Tropical Medicine
Fundamental Research Funds for the Central Universities
format Article in Journal/Newspaper
author Hou, Guolian
Wang, Junjie
Fan, Yuzhen
Zhang, Jianhua
Huang, Congzhi
author_facet Hou, Guolian
Wang, Junjie
Fan, Yuzhen
Zhang, Jianhua
Huang, Congzhi
author_sort Hou, Guolian
title A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
title_short A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
title_full A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
title_fullStr A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
title_full_unstemmed A novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
title_sort novel wind power deterministic and interval prediction framework based on the critic weight method, improved northern goshawk optimization, and kernel density estimation
publisher Elsevier BV
publishDate 2024
url http://dx.doi.org/10.1016/j.renene.2024.120360
https://api.elsevier.com/content/article/PII:S0960148124004257?httpAccept=text/xml
https://api.elsevier.com/content/article/PII:S0960148124004257?httpAccept=text/plain
genre Northern Goshawk
genre_facet Northern Goshawk
op_source Renewable Energy
volume 226, page 120360
ISSN 0960-1481
op_rights https://www.elsevier.com/tdm/userlicense/1.0/
https://doi.org/10.15223/policy-017
https://doi.org/10.15223/policy-037
https://doi.org/10.15223/policy-012
https://doi.org/10.15223/policy-029
https://doi.org/10.15223/policy-004
op_doi https://doi.org/10.1016/j.renene.2024.120360
container_title Renewable Energy
container_volume 226
container_start_page 120360
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