Power demand forecasting using meteorological data and human congestion information

研究成果: 著書/レポートタイプへの貢献会議での発言

2 引用 (Scopus)

抜粋

In this paper, we propose a method for forecasting power demand using meteorological data and human congestion information. In an energy management system (EMS), accurate power demand forecasts reduce the cost on the demand side and stabilize the power supply on the supply side. Although previously observed power consumption and meteorological data are conventionally used for forecasting power demand, it is difficult to estimate power demand in cases that are greatly affected by the behavior of people. Power consumption may vary according to the behavior of just one person, depending on the size of the community. In this study, the power demands of multiple buildings on the campus of a university are estimated accurately by analyzing heterogeneous data obtained with various sensors. Experiments show that using meteorological data and human congestion improves results. Consequently, we confirm that a cyber physical system can play an important role in the construction of an EMS.

元の言語英語
ホスト出版物のタイトルProceedings - 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016
出版者Institute of Electrical and Electronics Engineers Inc.
ページ29-32
ページ数4
ISBN(電子版)9781509044030
DOI
出版物ステータス出版済み - 12 22 2016
イベント4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016 - Nagoya, 日本
継続期間: 10 6 201610 7 2016

出版物シリーズ

名前Proceedings - 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016

その他

その他4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016
日本
Nagoya
期間10/6/1610/7/16

    フィンガープリント

All Science Journal Classification (ASJC) codes

  • Computer Science Applications
  • Computer Networks and Communications
  • Hardware and Architecture
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

これを引用

Hori, M., Goto, T., Takano, S., & Taniguchi, R. I. (2016). Power demand forecasting using meteorological data and human congestion information. : Proceedings - 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016 (pp. 29-32). [7796578] (Proceedings - 4th IEEE International Conference on Cyber-Physical Systems, Networks, and Applications, CPSNA 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CPSNA.2016.14