Work

Wind power generation prediction utilizing Kolmogorov-Arnold networks

Year: 2025

Type: article

Source: Engineering Research Express

DOI: 10.1088/2631-8695/add0f8

Authors: Mohd Herwan Sulaiman, Zuriani Mustaffa, Mohd Mawardi Saari, Oladimeji Ibrahim

Institutions: Universiti Malaysia Pahang Al-Sultan Abdullah, University of Ilorin

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

Funder: Universiti Malaysia Pahang

Award: G7049571653

OpenAlex ID: W4409791723

FWCI: 1.36

Cites: 40

Cited by: 6

Related to: 10