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Wind power prediction based on SSA-VMD-GRU hybrid model

Year: 2024

Type: conference-paper

Source: IEEE International Conference on Civil Aviation Safety and Information Technology (ICCASIT)

DOI: 10.1109/iccasit62299.2024.10827978

Authors: Qiuxue Ouyang, Conghan Zhong, Chongjun Yang, Yuan Li, Xiaoliu Jing

Institution: Qingdao City University

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: W4406355909

FWCI: 0.78

Cites: 5

Cited by: 1

Related to: 10