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US Patent 11274849 Smart thermostat with model predictive control and demand response integration

Patent 11274849 was granted and assigned to Johnson Controls on March, 2022 by the United States Patent and Trademark Office.

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Is a
Patent
Patent
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Patent attributes

Current Assignee
Johnson Controls
Johnson Controls
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Patent Jurisdiction
United States Patent and Trademark Office
United States Patent and Trademark Office
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Patent Number
112748490
Patent Inventor Names
Kerry M. Bell0
Alan S. Schwegler0
Brennan H. Fentzlaff0
Bridget E. Kapler0
Juan Esteban Tapiero Bernal0
Kierstyn R. Robbins0
Leyla Mousavi0
Matthew J. Ellis0
...
Date of Patent
March 15, 2022
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Patent Application Number
165884670
Date Filed
September 30, 2019
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Patent Citations
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US Patent 10174957 System and method for controlling multi-zone vapor compression systems
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US Patent 10332026 Building thermal control techniques
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US Patent 10332029 Building thermal control techniques
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US Patent 10488069 Generation of coordinated control commands for groupings of heating/ventilation/cooling thermostats
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US Patent 10495337 Smart thermostat with model predictive control
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US Patent 10580094 Energy cost optimizer
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US Patent 10605477 HVAC system with free cooling optimization based on coolant flowrate
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US Patent 10657609 Smart switch with stochastic optimization
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Patent Citations Received
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US Patent 11769066 Building data platform with digital twin triggers and actions
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US Patent 11934966 Building data platform with digital twin inferences
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US Patent 11549710 Model predictive control-based building climate controller incorporating humidity
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US Patent 11699197 System and method for energy forecasting based on indoor and outdoor weather data
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Patent Primary Examiner
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Crystal J Barnes-Bullock
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CPC Code
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G05B 17/02
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G05B 15/02
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G05B 13/04
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G05B 13/048
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G05B 13/042
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G05B 13/041
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F24F 2140/60
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F24F 2110/10
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A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.

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