Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load

Ak, Ronay; Li, Yan-Fu; Vitelli, Valeria; Zio, Enrico

doi:10.1016/j.ijepes.2017.08.012

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Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load

Author(s): Ronay Ak , Yan-Fu Li , Valeria Vitelli , Enrico Zio

Publication date Created: February 2018

Publication date (Print): February 2018

Journal: International Journal of Electrical Power & Energy Systems

Publisher: Elsevier BV

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Title: International Journal of Electrical Power & Energy Systems

Abbreviated Title: International Journal of Electrical Power & Energy Systems

Publisher: Elsevier BV

ISSN (Print): 01420615

Publication date Created: February 2018

Publication date (Print): February 2018

Volume: 95

Pages: 213-226

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DOI: 10.1016/j.ijepes.2017.08.012

SO-VID: a61a07e0-a7a9-409f-8356-9af85c77917c

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https://www.elsevier.com/tdm/userlicense/1.0/

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Adequacy assessment of a wind-integrated system using neural network-based interval predictions of wind power generation and load

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