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Univariate and multivariable forecasting models for ultra-short-term wind power prediction based on the similar day and LSTM network

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Year: 2021
Type: article
Source: Journal of Renewable and Sustainable Energy
DOI: 10.1063/5.0027130
Authors: Hai-Yan Xu, Yu-Qing Chang, Fu-Li Wang, Shu Wang, Yuan Yao
Institutions: Northeastern University, State Key Laboratory of Synthetical Automation for Process Industries, State Grid Liaoning Electric Power Company (China)
Language: English

Topic: Energy Load and Power Forecasting
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
SDGs: Affordable and clean energy, Climate action

Open Access status: closed

Funder: National Natural Science Foundation of China
Awards: 基于贝叶斯网络的生产过程异常工况识别与自愈控制方法研究, G8592876556
OpenAlex ID: W3216639768
FWCI: 0.514
Cites: 48
Cited by: 11
Related to: 10
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