Accurate modeling of end-users’ decision-making
behavior is crucial for validating demand response (DR)
policies. However, existing models usually represent the
decision-making behavior as an optimization problem,
neglecting the impact of human psychology on decisions.
In this paper, we propose a Belief-Desire-Intention (BDI)
agent model to model end-users’ decision-making under
DR. This model has the ability to perceive environmental
information, generate different power scheduling plans,
and make decisions that align with its own interests. The
key modeling capabilities of the proposed model have
been validated in a household end-user with flexible
loads