Power demand forecasting using meteorological data and human congestion information

研究成果: Chapter in Book/Report/Conference proceedingConference contribution

2 被引用数 (Scopus)

抄録

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.

本文言語英語
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
出版社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
国/地域日本
CityNagoya
Period10/6/1610/7/16

All Science Journal Classification (ASJC) codes

  • コンピュータ サイエンスの応用
  • コンピュータ ネットワークおよび通信
  • ハードウェアとアーキテクチャ
  • 人工知能
  • コンピュータ ビジョンおよびパターン認識

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