Work

Wind power forecasting – A data-driven method along with gated recurrent neural network

Year: 2020

Type: article

Source: Renewable Energy

DOI: 10.1016/j.renene.2020.10.119

Authors: Adam Kisvari, Zi Lin, Xiaolei Liu

Institutions: University of Glasgow, Northumbria University

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

Open Access status: green

Funder: Engineering and Physical Sciences Research Council

OpenAlex ID: W3095043043

FWCI: 14.96

Cites: 50

Cited by: 418

Related to: 10