Based on the load physical models and the refined control models which reflect users' subjective willingness

a precise modeling method for three typical high-power controllable loads is proposed on residential side including heating

ventilating and air conditioning(HVAC)systems

electric water heaters and electric vehicles. Firstly

the simulation is implemented in an example of a customer home. The influences of the refined definition of various relevant technical parameters and the typical power consumption process on electricity consumption of different loads are analyzed in details. Then

the home energy management strategy optimization model which aims at optimizing electricity cost is established. It is concluded that the individualized power consumption environment and subjective electricity consumption concept from users could be incorporated and demonstrated by the refined models of loads and significantly impact the load optimization control strategies of intelligent home energy management system.