A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information-Reference-Cited by-同舟云学术

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A short-term power prediction method for wind farm cluster based on the fusion of multi-source spatiotemporal feature information

Published:2024-05 Issue: Volume:294 Page:130770
ISSN:0360-5442
Container-title:Energy
language:en
Short-container-title:Energy

Author:

Yang Mao,Han Chao,Zhang Wei,Wang Bo

Funder

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

National Key Research and Development Program of China

Publisher

Elsevier BV

Reference52 articles.

1. Accelerating the energy transition towards photovoltaic and wind in China;Wang;Nature,2023

2. Assessing the energy transition in China towards carbon neutrality with a probabilistic framework;Zhang;Nat Commun,2022

3. Cost increase in the electricity supply to achieve carbon neutrality in China;Zhuo;Nat Commun,2022

4. A composite framework for photovoltaic day-ahead power prediction based on dual clustering of dynamic time warping distance and deep autoencoder;Yang;Renew Energy,2022

5. Day-ahead wind power forecasting based on the clustering of equivalent power curves;Yang;Energy,2021

Cited by 2 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Wind power prediction through acoustic data-driven online modeling and active wake control;Energy Conversion and Management;2024-11

2. Two-stage correction prediction of wind power based on numerical weather prediction wind speed superposition correction and improved clustering;Energy;2024-09

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