Intelligent Park Automatic Demand Respond Characteristic Analysis Based on Optimal Fuzzy C-means Clustering Algorithm

Abstract

Firstly, This paper introduces automatic demand response technology and fuzzy C-mean clustering algorithm, then An algorithm based on fuzzy C means clustering is used to cluster analysis of the daily load data of a distribution station in a certain Eco-city, and the optimal number of load clustering is calculated, and the optimal load clustering results are obtained. At last, this paper summarizes the load response characteristics of various types, and provides a research idea for the cluster analysis of demand response to user load characteristics.