Simulation of Energy Management by Controlling Crowd Behavior
We propose a method of energy management aimed at reducing the emission of carbon dioxide by changing people’s behavior in small and medium-sized electricity communities. In the conventional energy management system, a power peak is cut and shifted mainly using solar power generation and batteries. In this research, a power peak is cut and shifted by controlling the power demand. The power demand for each facility in small communities is controlled by changing crowd behavior. In experiments, models for predicting power demand according to crowd congestion are constructed for each facility and the accuracies of prediction are verified.
KeywordsEnergy management system Power demand Crowd behavior
This research was supported by the Japan Science and Technology Agency (JST) through its Center of Innovation: Science and Technology Based Radical Innovation and Entrepreneurship Program (COI STREAM).
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