Work

Wind speed forecasting using multi-site collaborative deep learning for complex terrain application in valleys

Year: 2022

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2022.02.095

Authors: Dalei Qiao, Shun Wu, Ge Li, Jiaxing You, Juan Zhang, Bilong Shen

Institutions: Jiangsu Maritime Institute, Nanjing University, China Meteorological Administration, China Three Gorges Corporation (China), PLA National Defence University

Language: English

Topic: Energy Load and Power Forecasting

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Climate action, Affordable and clean energy

Open Access status: closed

Funders: National Natural Science Foundation of China, Qinglan Project of Jiangsu Province of China, Natural Science Research of Jiangsu Higher Education Institutions of China

Awards: G2736045110, G5653736576

OpenAlex ID: W4214810046

FWCI: 2.141

Cites: 42

Cited by: 40

Related to: 10