A Distributed Demand Response Algorithm Considering Uncertainties of Resident Behavior

This paper proposes a distributed demand response algorithm that considers the uncertainty of resident behavior. This algorithm based on the alternating directions method of multipliers (ADMM) allows for distributing the optimization process across several servers/cores, which conserves users’ privacy and reduces the computational complexity of demand response. At the same time, the robust optimization method is applied to deal with the uncertainty of the response process, reduce the impact of resident behavior uncertainties. Finally, the effectiveness of the algorithm has been verified through the simulation.

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