The data-based adaptive graph learning network for analysis and prediction of offshore wind speed

Author:

Ren Yuting,Li Zhuolin,Xu Lingyu,Yu Jie

Funder

National Key Research and Development Program of China

State Oceanic Administration

Publisher

Elsevier BV

Subject

General Energy,Pollution,Mechanical Engineering,Building and Construction,Electrical and Electronic Engineering,Industrial and Manufacturing Engineering,Civil and Structural Engineering

Reference37 articles.

1. World market for wind power saw another record year in 2021: 97,3 gigawatt of new capacity added,2022

2. Short-term offshore wind speed forecast by seasonal ARIMA - a comparison against GRU and LSTM[J];Liu;Energy,2021

3. Short-Term Wind Speed Prediction Based on Variational Mode Decomposition and Linear–Nonlinear Combination Optimization Model[J];Sun;Energies,2019

4. Superposition Graph Neural Network for offshore wind power prediction[J];Mei;Future Generat Comput Syst,2020

5. A comparison of the impact of QuikScat and WindSat wind vector products on met office analyses and forecasts[J];Candy;IEEE Trans Geosci Rem Sens,2009

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