Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks-Reference-Cited by-同舟云学术

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Promoting wind energy for sustainable development by precise wind speed prediction based on graph neural networks

Published:2022-11 Issue: Volume:199 Page:977-992
ISSN:0960-1481
Container-title:Renewable Energy
language:en
Short-container-title:Renewable Energy

Author:

Wu Qiang,Zheng Hongling,Guo Xiaozhu,Liu Guangqiang

Funder

National Natural Science Foundation of China

University of Electronic Science and Technology of China

Publisher

Elsevier BV

Subject

Renewable Energy, Sustainability and the Environment

Reference45 articles.

1. Wind power generation: a review and a research agenda;Vargas;J. Clean. Prod.,2019

2. A review on mvdc collection systems for high-power offshore wind farms;Abeynayake,2019

3. Wind power forecasting with deep learning networks: time-series forecasting;Lin;Appl. Sci.,2021

4. Short-term forecasts of ghi and dni for solar energy systems operation: assessment of the ecmwf integrated forecasting system in southern Portugal;Lopes;Sol. Energy,2018

5. A literature review of wind forecasting technology in the world;Wu;2007 IEEE Lausanne Power Tech,2007

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