A data-driven zeroth-order algorithm converges to Stackelberg equilibrium tariffs in demand-side management by online estimation of user responses from actions, using fewer interactions than prior methods.
Machine learning for identifying demand patterns of home energy management systems with dynamic electricity pricing,
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Learning-Based Stackelberg Equilibrium Seeking with Application to Demand-Side Energy Management
A data-driven zeroth-order algorithm converges to Stackelberg equilibrium tariffs in demand-side management by online estimation of user responses from actions, using fewer interactions than prior methods.