Power Load Classification Based on Feature Weighted Fuzzy Clustering
The load classification of power users provides basic guidance for the research of power system planning, load forecasting, and time-of-use electricity price. In this paper, the variational modal decomposition(VMD) and fuzzy C-means clustering algorithm(FCM) are used for power load classification. B...
Saved in:
| Main Authors: | Zongbiao MA, Su'an XU, Shaobin ZHU, Jing WANG |
|---|---|
| Format: | Article |
| Language: | zho |
| Published: |
State Grid Energy Research Institute
2022-06-01
|
| Series: | Zhongguo dianli |
| Subjects: | |
| Online Access: | https://www.electricpower.com.cn/CN/10.11930/j.issn.1004-9649.202006320 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Analysis of collapse modes of stiffened panels subjected to combined axial and lateral loads
by: Guangyu GUO, et al.
Published: (2025-04-01) -
A Short-Term Load Forecasting Method Based on Load Curve Clustering and Elastic Net Analysis
by: Bingjie JIN, et al.
Published: (2020-09-01) -
Short-term Load Forecasting Based on DTW K-medoids and VMD Multi-branch Neural Network for Multiple Users
by: Yufei WANG, et al.
Published: (2024-06-01) -
An Improved Short-Term Electricity Load Forecasting Method: The VMD–KPCA–xLSTM–Informer Model
by: Jiawen You, et al.
Published: (2025-04-01) -
Load identification method based on one class classification combined with fuzzy broad learning
by: Wang Yi, et al.
Published: (2022-05-01)