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.
CITATION STYLE
Hori, M., Nakayama, K., Shimada, A., & Taniguchi, R. ichiro. (2018). Simulation of energy management by controlling crowd behavior. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10921 LNCS, pp. 232–241). Springer Verlag. https://doi.org/10.1007/978-3-319-91125-0_20
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