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Details and prediction results of each thermal-load prediction system: cooling load prediction by Kalman filter. 1. Application to daily peak load prediction model.

[In Japanese. / En japonais.]

Author(s) : MURAKAWA S., MUTSUYOSHI E., MORIGUCHI M.

Type of article: Article

Summary

Long- and short-term prediction algorithms for chilled water load in a district heating and cooling plant are described: viz 24-hour load prediction of the next day of 30-minute-ahead load prediction. The 30-minute-ahead load is predicted by utilizing the predicted 24-hour load pattern and a triple exponential smoothing method. Results obtained through a field test in the Senri-Chuo district of Japan are shown.

Details

  • Original title: [In Japanese. / En japonais.]
  • Record ID : 1994-2461
  • Languages: Japanese
  • Source: SHASE - vol. 67 - n. 8
  • Publication date: 1993/08
  • Document available for consultation in the library of the IIR headquarters only.

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