Cluster Characteristics Clarification in Fuzzy c-Regression and Its Application to Solar Electric Power Analysis

Abstract

Fuzzy c-regression is an extension of fuzzy c-means to switching regression, which is useful for estimating multiple regression models from mixed databases consisting from some different data groups. This paper proposes a novel method for emphasizing the differences among local regression models with the goal of clarifying the differences among clusters. The characteristics of the proposed method is demon- strated through an application to residential solar electric power analysis considering the mutual relation among solar power with meteorological elements.