Data mining to support home energy management strategy with interaction between grid and users

Abstract

Home energy management system is an extension of the smart grid in residential sector. It is a hot topic in smart grid. This paper proposed a home energy management strategy. It uses data mining techniques to obtain useful information when analyzing the load characteristics. The home energy management system is composed of home gateways, interactive terminals, smart socket and smart appliances with a variety of sensors and automated demand response controllers. It can achieve the goal of energy saving and emission reduction.