Nonintrusive Load Monitoring Method Based on Color Encoding and Improved Twin Support Vector Machine
In the process of traditional power load identification, the load information of V-I track is missing, the image similarity of V-I track of some power loads is high and the recognition effect is not good, and the training time of recognition model is too long. In view of the abovementioned situation...
Main Authors: | Ruoyuan Zhang, Yuan Wang, Yang Song |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-07-01
|
Series: | Frontiers in Energy Research |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fenrg.2022.906458/full |
Similar Items
-
Three-Phase Electrical Measurement Representations for Nonintrusive Load Diagnostics
by: Daisy H. Green, et al.
Published: (2022-01-01) -
Sequence to Point Learning Based on an Attention Neural Network for Nonintrusive Load Decomposition
by: Mingzhi Yang, et al.
Published: (2021-07-01) -
A Field Study of Nonintrusive Load Monitoring Devices and Implications for Load Disaggregation
by: Ebony Mayhorn, et al.
Published: (2023-10-01) -
Towards energy‐efficient smart homes via precise nonintrusive load disaggregation based on hybrid ANN–PSO
by: R. Ramadan, et al.
Published: (2023-07-01) -
A Novel Nonintrusive Load Monitoring Approach based on Linear-Chain Conditional Random Fields
by: Hui He, et al.
Published: (2019-05-01)