Work

Frequency Behaviour Prediction Based on Machine Learning for Future Low-Inertia Power Systems

Year: 2024

Type: conference-paper

Source: International Universities Power Engineering Conference (UPEC)

DOI: 10.1109/upec61344.2024.10892554

Authors: Lu Shen, Qiteng Hong, Campbell Booth

Institution: University of Strathclyde

Language: English

Topic: Frequency Control in Power Systems

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: Engineering and Physical Sciences Research Council

Award: G3523208645

OpenAlex ID: W4407938488

FWCI: 0.806

Cites: 20

Cited by: 1

Related to: 10