Work

An improved fuzzy C-means algorithm for power load characteristics classification

Year: 2012

Type: article

Abstract: A simulated annealing and genetic algorithm oriented Fuzzy C-Means (SAGA-FCM) algorithm is used for load classification to improve the accuracy and validity. The traditional Fuzzy C-Means (FCM) algorithm is sensitive to its initial cluster centers, and it is easy to fall into the local optimum. While SAGA-FCM algorithm integrates the strong local search ability of simulated annealing algorithm and the strong global search ability of genetic algorithm to overcome the drawbacks of traditional FCM algorithm. Meanwhile, the hierarchical clustering method, K-Means algorithm and traditional FCM algorithm are also used for power load classification. The comparative analysis from the experimental results shows that SAGA-FCM algorithm is more effective and superior than the other three algorithms.

Source: Power System Protection and Control

Author: Zhou Kai-le

Language: English

Topic: Advanced Clustering Algorithms Research

Subfield: Artificial Intelligence

Field: Computer Science

Domain: Physical Sciences

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

Open Access status: diamond

OpenAlex ID: W2357482146

FWCI: 1.758

Cites:

Cited by: 16

Related to: 10