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We created and analyzed various Demand Response (DR) scenarios in the electric power market using multi-agent simulation.We first built a multi-agent simulation for the electric power market using actual data, including prices from the Japanese Electric Power Exchange (JEPX) market, electricity consumption in Japan, and an actual factory.Using this multi-agent simulation, we tested several possible DR scenarios for the factory.We then compared these scenarios using two newly defined indices for assessing the reduction efficiency of cost and CO 2 emissions.The results showed that a work time shift in the summer and peak shift in factory demand in the winter were the best in terms of cost and CO 2 emission reduction efficiencies.Thus, we demonstrated the usefulness of our multi-agent simulation for examining the effectiveness of DR scenarios by simulating complex interactions that consider the seasonal and time-of-day characteristics of power prices.
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Hirano et al. (2023) studied this question.
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