Work

Research on Wind Power Prediction Based on Lstm Neural Network

Year: 2025

Type: conference-paper

Source: IEEE Advanced Information Technology, Electronic and Automation Control Conference (IAEAC)

DOI: 10.1109/iaeac65194.2025.11166375

Authors: Zhaocheng Yang, Ziqing Ye, Min Sun, Chengbin Sun

Institutions: State Grid Jiangsu Electric Power (China), Jiangsu Aviation Technical College

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: W4414432528

FWCI:

Cites: 8

Cited by:

Related to: