Simulation of energy management by controlling crowd behavior

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationDistributed, Ambient and Pervasive Interactions
Subtitle of host publicationUnderstanding Humans - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings
EditorsShin’ichi Konomi, Norbert Streitz
PublisherSpringer Verlag
Pages232-241
Number of pages10
ISBN (Print)9783319911243
DOIs
Publication statusPublished - Jan 1 2018
Event6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018 - Las Vegas, United States
Duration: Jul 15 2018Jul 20 2018

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume10921 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other6th International Conference on Distributed, Ambient and Pervasive Interactions, DAPI 2018 Held as Part of HCI International 2018
CountryUnited States
CityLas Vegas
Period7/15/187/20/18

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Hori, M., Nakayama, K., Shimada, A., & Taniguchi, R. I. (2018). Simulation of energy management by controlling crowd behavior. In S. Konomi, & N. Streitz (Eds.), Distributed, Ambient and Pervasive Interactions: Understanding Humans - 6th International Conference, DAPI 2018, Held as Part of HCI International 2018, Proceedings (pp. 232-241). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 10921 LNCS). Springer Verlag. https://doi.org/10.1007/978-3-319-91125-0_20