需要予測の不確実性を考慮したロバスト運転計画

書誌事項

タイトル別名
  • <b>Robust Optimal Operation for Building HVAC Systems with Uncertainty in Demand Prediction</b>
  • Robust Optimal Operation for Building HVAC Systems with Uncertainty in Demand Prediction

抄録

To promote more effective use of the thermal storage systems, optimal operation scheduling of heat source facilities with thermal load prediction is indispensable. Although conventional scheduling method considered the predicted load as a true value, load prediction error is inescapable and could lead to deterioration of actual operational cost. In this paper we propose a robust optimal operation method to reduce negative effect of the prediction uncertainty. The effectiveness of the proposed method is evaluated with the simulation model describing the actual building HVAC (Heating, Ventilating and Air-Conditioning) systems.

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被引用文献 (2)*注記

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詳細情報 詳細情報について

  • CRID
    1390282680142760448
  • NII論文ID
    130004680165
  • DOI
    10.5687/iscie.27.200
  • ISSN
    2185811X
    13425668
  • 本文言語コード
    ja
  • データソース種別
    • JaLC
    • Crossref
    • CiNii Articles
  • 抄録ライセンスフラグ
    使用不可

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