Superposition Graph Neural Network for offshore wind power prediction-Reference-Cited by-同舟云学术

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Superposition Graph Neural Network for offshore wind power prediction

Published:2020-12 Issue: Volume:113 Page:145-157
ISSN:0167-739X
Container-title:Future Generation Computer Systems
language:en
Short-container-title:Future Generation Computer Systems

Author:

Yu Mei,Zhang Zhuo,Li Xuewei,Yu Jian,Gao Jie,Liu Zhiqiang,You Bo,Zheng Xiaoshan,Yu Ruiguo

Funder

National Natural Science Foundation of China

Key R&D Program of Tianjin, China

Publisher

Elsevier BV

Subject

Computer Networks and Communications,Hardware and Architecture,Software

Reference42 articles.

1. A novel bidirectional mechanism based on time series model for wind power forecasting;Zhao;Appl. Energy,2016

2. A hybrid wind speed forecasting model based on phase space reconstruction theory and Markov model: A case study of wind farms in northwest China;Wang;Energy,2015

3. Analysis and prediction on wind power in provincial grid;Liu,2011

4. Renewables 2018 Global Status Report;COMMUNITY,2018

5. Dependable demand response management in the smart grid: A Stackelberg game approach;Maharjan;IEEE Trans. Smart Grid,2013

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