Work

Unsupervised anomaly detection in energy storage systems using Dual-View latent variable modeling

Year: 2025

Type: article

Source: Engineering Applications of Artificial Intelligence

DOI: 10.1016/j.engappai.2025.112958

Authors: Zhipeng Qiu, Zhixia Zeng, Weifu Zhu, Ruliang Xiao, Shi Zhang

Institution: Fujian Normal University

Language: English

Topic: Anomaly Detection Techniques and Applications

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: closed

Funders: Science and Technology Projects of Fujian Province, National Natural Science Foundation of China, Fujian Provincial Department of Science and Technology

Awards: G5759076869, G6185092768

OpenAlex ID: W4415878633

FWCI: 0.313

Cites: 29

Cited by: 1

Related to: 10