Work

Wind direction prediction based on nonlinear autoregression and Elman neural networks for the wind turbine yaw system

Year: 2024

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2024.122284

Authors: Yusong Yang, Evgeny Solomin, Aleksandr Shishkov

Institution: South Ural State University

Language: English

Topic: Wind Turbine Control Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: green

Funders: China Scholarship Council, Russian Science Foundation

Awards: G1341200797, G5275603792

OpenAlex ID: W4405757204

FWCI: 1.808

Cites: 31

Cited by: 20

Related to: 10