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A semi-supervised contrastive learning framework based on current signals for non-intrusive load monitoring

Year: 2025

Type: article

Source: Intelligent Data Analysis

DOI: 10.1177/1088467x251384487

Authors: Yinghua Han, Yuan Li, Ruibo Zhang, Qiang Zhao

Institution: Northeastern University

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

Funders: National Natural Science Foundation of China, Natural Science Foundation of Hebei Province, Fundamental Research Funds for the Central Universities

Awards: G1782180794, G2463746707, G8472377809

OpenAlex ID: W4415380971

FWCI:

Cites: 37

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