Work

A model based on decomposition and bidirectional long short-term memory network for short-term wind speed prediction

Year: 2025

Type: article

Source: Wind Engineering

DOI: 10.1177/0309524x251399440

Authors: Zhongda Tian, Xinru Shao

Institution: Shenyang University of Technology

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: State Key Laboratory of Synthetical Automation for Process Industries

OpenAlex ID: W4416179707

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Cites: 23

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