Development of a Hierarchical Reinforcement Learning Model for Dynamic Retail Pricing and Cooling Demand Response in Building Communities
A two-level hierarchical Soft Actor–Critic framework to quantify how a virtual retail aggregator and a centralized building controller can coordinate bounded internal retail prices, shared battery scheduling, and cooling demand response supports an economic and emissions tradeoff in the stated six-building simulation.