A Belief-desire-intention Agent Model for Modeling End-user Decision-Making under Demand Response
| Authors | Mengqiu Deng, Xiao Peng |
|---|---|
| Publication date | 2024 |
| Research groups | Organisaties in Digitale Transitie |
| Type | Lecture |
Summary
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
| Language | Engels |
|---|---|
| Key words | decision-making model, demand response, BDI-agent, household-power sc |
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