Title:
THERMAL LOAD PREDICTION SYSTEM
Document Type and Number:
WIPO Patent Application WO/2023/190229
Kind Code:
A1
Abstract:
There is a problem that, when performing learning of thermal loads in a building using thermal loads for respective outdoor equipment units, it is difficult to predict thermal loads for respective air-conditioning zones. A thermal load prediction system (1) comprises an environment data acquisition part (191), an operation data acquisition part (192), a storage part (11), a learning part (193), and a prediction part (194). The environment data acquisition part (191) acquires internal environment data (D2) and external environment data (D1) of an air-conditioning zone. The operation data acquisition part (192) acquires operation data (D3) of an air conditioner that performs air conditioning on the air-conditioning zone. The storage part (11) stores data acquired by the environment data acquisition part (191) and the operation data acquisition part (192). The learning part (193) trains models (M1, M2) for predicting thermal loads in air-conditioning zones, by using learning data (LD1, LD2) obtained from the storage part (11). The prediction part (194) predicts a thermal load of the air-conditioning zone by using the models (M1, M2).
More Like This:
Inventors:
YOSHIDA KOTARO
NISHIMURA TADAFUMI
YURA YOSHINORI
MATSUI NOBUKI
OKAMOTO MASAKAZU
NISHIMURA TADAFUMI
YURA YOSHINORI
MATSUI NOBUKI
OKAMOTO MASAKAZU
Application Number:
PCT/JP2023/011975
Publication Date:
October 05, 2023
Filing Date:
March 24, 2023
Export Citation:
Assignee:
DAIKIN IND LTD (JP)
International Classes:
F24F11/64; F24F110/00; F24F110/12
Foreign References:
| JP5572799B2 | 2014-08-20 | |||
| JP2020139705A | 2020-09-03 | |||
| JP2001344294A | 2001-12-14 |
Attorney, Agent or Firm:
SHINJYU GLOBAL IP (JP)
Download PDF: