User-Aware Game Theoretic Approach for Demand Management


Demand-management programs intend to maintain provide-demand balance and scale back the full energy price. In this paper, we propose a user-aware demand-management approach that manages residential masses whereas taking into thought user preferences. Maximizing users’ savings and luxury can be 2 contradicting objectives. We have a tendency to establish a trade-off between these two objectives and propose an energy consumption optimization model, and a game theoretic approach to take this trade-off into consideration. User comfort is modeled in a easy yet effective means that considers waiting time, kind of appliance, with a weight factor to prioritize comfort over savings. The proposed game is predicated on a modified regret matching procedure and borrows benefits of both centralized and decentralized schemes. Through simulations, we show that the proposed approach is scalable, converges in acceptable times, introduces a very restricted amount of overhead within the system, achieves terribly high cost savings, and preserves users’ preferences. Extensive simulations are used to judge the performance of the optimization model and also the proposed approach.

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