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CoFMD-BiLSTM: A Wind and Photovoltaic Power Prediction Method Based on Feature Mode Decomposition and Cooperative Learning Strategy

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Year: 2024
Type: conference-paper
Source: China Automation Congress (CAC)
DOI: 10.1109/cac63892.2024.10864717
Authors: Xinzhi Ding, Dayi Li, Wei Huang, Yiping Chen
Institutions: State Key Laboratory of Advanced Electromagnetic Engineering and Technology, Huazhong University of Science and Technology, Yunnan Power Grid Co., Ltd. (China), China Southern Power Grid (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, Industry, innovation and infrastructure

Open Access status: closed
OpenAlex ID: W4407474508
FWCI:
Cites: 5
Cited by:
Related to: 10
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