Work

A Short-Term Wind Power Forecasting Method Based on STL-TimesNet-iTransformer Model

Year: 2025

Type: conference-paper

Source: International Conference on Computer Information Science and Application Technology (CISAT)

DOI: 10.1109/cisat66811.2025.11181932

Authors: Ding Ma, Delong Cui, Qirui Li, Zhiping Peng, Jieguang He, Zhusen Liang, Yonglin Huang

Institutions: Guangdong University of Petrochemical Technology, Jiangmen Polytechnic

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure, Climate action

Open Access status: closed

Funders: Ministry of Natural Resources, Guangdong University of Petrochemical Technology, National Natural Science Foundation of China, Chinese Academy of Sciences, Natural Science Foundation of Guangdong Province, Department of Education of Guangdong Province

OpenAlex ID: W4414692796

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