TY - GEN
T1 - Simulation of energy management by controlling crowd behavior
AU - Hori, Maiya
AU - Nakayama, Keita
AU - Shimada, Atsushi
AU - Taniguchi, Rin ichiro
N1 - Funding Information:
Acknowledgements. 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).
Publisher Copyright:
© Springer International Publishing AG, part of Springer Nature 2018.
PY - 2018
Y1 - 2018
N2 - 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.
AB - 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.
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U2 - 10.1007/978-3-319-91125-0_20
DO - 10.1007/978-3-319-91125-0_20
M3 - Conference contribution
AN - SCOPUS:85050493096
SN - 9783319911243
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 232
EP - 241
BT - Distributed, Ambient and Pervasive Interactions
A2 - Konomi, Shin’ichi
A2 - Streitz, Norbert
PB - Springer Verlag
T2 - 6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018
Y2 - 15 July 2018 through 20 July 2018
ER -