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Title:
LEARNING DEVICE, AIR CONDITIONING CONTROL SYSTEM, INFERENCE DEVICE, AIR CONDITIONING CONTROL DEVICE, TRAINED MODEL GENERATION METHOD, TRAINED MODEL, AND PROGRAM
Document Type and Number:
WIPO Patent Application WO/2023/132266
Kind Code:
A1
Abstract:
In a learning device (30), a simulation unit (330) simulates, in a situation where the state of an indoor space and/or the state of a refrigeration cycle provided to an air conditioner is given, a thermal environment of the indoor space predicted in a case where an air conditioner performed air conditioning on the indoor space. A reinforcement learning unit (350), by performing reinforcement learning in which a value based on the thermal environment simulated by the simulation unit (330) is defined as a reward, generates a trained model for estimating an air conditioner control value from the state of the refrigeration cycle and/or the state of the indoor space.

Inventors:
IKEDA HAJIME (JP)
Application Number:
PCT/JP2022/047484
Publication Date:
July 13, 2023
Filing Date:
December 22, 2022
Export Citation:
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Assignee:
MITSUBISHI ELECTRIC CORP (JP)
International Classes:
F24F11/62; F24F11/63; F24F11/74; F24F11/79; F24F11/80; G06N3/02; G06N20/00; F24F110/10; F24F120/12
Foreign References:
JP2021156565A2021-10-07
JP2018071853A2018-05-10
Attorney, Agent or Firm:
KIMURA Mitsuru (JP)
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