  A recently developed state-of-the-art agent-based simulation of power
distribution systems is capable of modeling the thermal and demand response
behavior of many thousands of thermostatic end-use loads. It computes the total
power consumed by electric power customers when responding to real-time prices.
Investigation of the initialization transients has led to a more precise
understanding of the relationship between the end-use state probability of
thermostatic loads, end-use demand, and load diversity.
