Hybrid Transformer–Convolutional Neural Network Approach for Non-Intrusive Load Analysis in Industrial Processes

Hybrid Transformer–Convolutional Neural Network Approach for Non-Intrusive Load Analysis in Industrial Processes

With global efforts intensifying towards achieving carbon neutrality, accurately monitoring and managing energy consumption in industrial sectors has become critical. Non-Intrusive Load Monitoring (NILM) technology presents a cost-effective solution for industrial energy management by decomposing ag...

Full description

Saved in:
Bibliographic Details
Main Authors: Gengsheng He, Yu Huang, Ying Zhang, Yuanzhe Zhu, Yuan Leng, Nan Shang, Jincan Zeng, Zengxin Pu
Format: Article
Language:English
Published: MDPI AG 2025-05-01
Series:Energies
Subjects:
Non-Intrusive Load Monitoring (NILM)
Transformer
CNN
industrial electricity
cement plant
Online Access:https://www.mdpi.com/1996-1073/18/10/2464
Tags: Add Tag
No Tags, Be the first to tag this record!

Similar Items

Similar Items