Work

Short-Term Wind Power Prediction Based on Wind2vec-BERT Model

Year: 2024

Type: article

Source: IEEE Transactions on Sustainable Energy

DOI: 10.1109/tste.2024.3492497

Authors: Miao Yu, Jinyang Han, Honghao Wu, Jiaxin Yan, Runxin Zeng

Institution: Beijing University of Civil Engineering and Architecture

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

Funders: Ministry of Education, Libya, National Natural Science Foundation of China, Natural Science Foundation of Beijing Municipality

Awards: G7343880391, G7471488605

OpenAlex ID: W4404101425

FWCI: 1.437

Cites: 18

Cited by: 14

Related to: 10