3DTCN-CBAM-LSTM short-term power multi-step prediction model for offshore wind power based on data space and multi-field cluster spatio-temporal correlation-Reference-Cited by-同舟云学术

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3DTCN-CBAM-LSTM short-term power multi-step prediction model for offshore wind power based on data space and multi-field cluster spatio-temporal correlation

Published:2024-12 Issue: Volume:376 Page:124169
ISSN:0306-2619
Container-title:Applied Energy
language:en
Short-container-title:Applied Energy

Author:

Du Ruoyun,Chen Hongfei,Yu Min,Li Wanying,Niu Dongxiao,Wang Keke,Zhang Zuozhong

Funder

Ministry of Science and Technology of the People's Republic of China

Major Program of National Fund of Philosophy and Social Science of China

National Key Research and Development Program of China

National Office for Philosophy and Social Sciences

Publisher

Elsevier BV

Reference68 articles.

1. The temporal variability of global wind energy – Long-term trends and inter-annual variability;Jung;Energy Convers Manag,2019

2. Cutting plane approaches for frequency constrained economic dispatch problems;Cardozo;Electr Power Syst Res,2018

3. Analysis of wind power intermittency based on historical wind power data;Ren;Energy,2018

4. Offshore Wind Power Integration into Future Power Systems: Overview and Trends;Fernández-Guillamón;J Marine Sci and Engineering,2019

5. Probability distributions for offshore wind speeds;Morgan;Energy Convers Manag,2011

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