Work

Physics-Informed Neural Networks for Privacy-Preserving Model Sharing in Power Systems

Year: 2024

Type: conference-paper

Source: IEEE PES Innovative Smart Grid Technologies Europe

DOI: 10.1109/isgteurope62998.2024.10863046

Authors: Ilayda Canyakmaz, Can Berk Saner, Antonios Varvitsiotis

Institutions: Singapore University of Technology and Design, National University of Singapore

Language: English

Topic: Power System Optimization and Stability

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

Funders: Ministry of Education, National Research Foundation

OpenAlex ID: W4407362637

FWCI:

Cites: 15

Cited by:

Related to: 10