Title:
HVAC CONTROL METHOD AND SYSTEM WITH MODEL-DRIVEN DEEP LEARNING
Document Type and Number:
Japanese Patent JP2021177120
Kind Code:
A
Abstract:
To provide an HVAC control system with model-driven deep learning.SOLUTION: A method includes the steps of: operating equipment to affect a variable state or condition of a space; and determining a set of learned weights for a neural network by modeling an estimated cost of operating the equipment over a plurality of simulated scenarios. Each simulated scenario includes simulated measurements relating to the space. The neural network is configured to generate simulated control dispatches for the equipment based on the simulated measurements. The method also includes the steps of: configuring the neural network for online control by applying the set of learned weights; applying actual measurements relating to the space to the neural network to generate a control dispatch for the equipment; and controlling the equipment in accordance with the control dispatch.SELECTED DRAWING: Figure 13
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Inventors:
ROBERT D TURNEY
HENRY O MARCY V
HENRY O MARCY V
Application Number:
JP2021118668A
Publication Date:
November 11, 2021
Filing Date:
July 19, 2021
Export Citation:
Assignee:
JOHNSON CONTROLS TECH CO
International Classes:
F24F11/63; F24F3/044; F24F11/47; G05B13/02; G05B13/04
Domestic Patent References:
| JPH09159284A | 1997-06-20 | |||
| JP2003084805A | 2003-03-19 | |||
| JP2017067427A | 2017-04-06 |
Attorney, Agent or Firm:
Hidekazu Miyoshi
Masakazu Ito
Yuko Hara
Masakazu Ito
Yuko Hara