Supporting virtual power plants decision-making in complex urban environments using reinforcement learning

•An AI-based approach to deal with uncertainties and complexities in urban VPP study.•Utilise the reinforcement learning's robustness and efficiency for optimal VPP policy in urban environments.•The reinforcement learning AI's capacity for optimal demand response and energy trading is validated.•Statistical analysis is provided to verify the proposed approach's performance and suitability.