Work

GT-NILM: A Generative, Transferable Non-Intrusive Load Monitoring System Based on Conditional Diffusion Models and Convolutional Neural Networks

Year: 2025

Type: article

Source: IEEE Transactions on Consumer Electronics

DOI: 10.1109/tce.2025.3577139

Authors: Bohan Zhang, Fengji Luo, Yu He, Gianluca Ranzi

Institution: The University of Sydney

Language: English

Topic: Smart Grid Energy Management

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

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

Open Access status: closed

Funder: Australian Research Council

Award: Customer Centred Peer-to-Peer Energy Trading Framework for Future Grids

OpenAlex ID: W4411086556

FWCI: 1.813

Cites: 37

Cited by: 8

Related to: 10