Work

Wind speed prediction method using Shared Weight Long Short-Term Memory Network and Gaussian Process Regression

Year: 2019

Type: article

Source: Applied Energy

DOI: 10.1016/j.apenergy.2019.04.047

Authors: Zhendong Zhang, Lei Ye, Hui Qin, Yongqi Liu, Chao Wang, Xiang Yu, Xingli Yin, Jie Li

Institutions: Huazhong University of Science and Technology, Dalian University of Technology, China Institute of Water Resources and Hydropower Research, Jiangxi University of Water Resources and Electric Power, Nanchang Institute 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, Industry, innovation and infrastructure

Open Access status: closed

Funders: National Natural Science Foundation of China, Fundamental Research Funds for the Central Universities

Awards: G3545915619, G4167789752, G5770406895, G5999234960

OpenAlex ID: W2937440203

FWCI: 12.55

Cites: 37

Cited by: 302

Related to: 10