A platform for research: civil engineering, architecture and urbanism
A platform for research: civil engineering, architecture and urbanism
Enhancing non-intrusive load monitoring through transfer learning with transformer models
https://orcid.org/0009-0007-8818-042X
https://orcid.org/0000-0002-3771-9954
https://orcid.org/0009-0008-6012-3754
Enhancing non-intrusive load monitoring through transfer learning with transformer models
https://orcid.org/0009-0007-8818-042X
https://orcid.org/0000-0002-3771-9954
https://orcid.org/0009-0008-6012-3754
Enhancing non-intrusive load monitoring through transfer learning with transformer models
https://orcid.org/0009-0007-8818-042X
https://orcid.org/0000-0002-3771-9954
https://orcid.org/0009-0008-6012-3754
Enhancing non-intrusive load monitoring through transfer learning with transformer models
Energy and Buildings
Rong, Jing (author) / Wang, Cong (author) / Zhou, Qiuzhan (author) / He, Yunxue (author) / Wu, Huinan (author)
Energy and Buildings ; 330 ; 115334
2025-03-01
Article (Journal)
Electronic Resource
English
Comparing four machine learning algorithms for household non-intrusive load monitoring
| DOAJ | 2024
Non-intrusive load monitoring based on MoCo_v2, time series self-supervised learning
| Elsevier | 2024