Invention Grant
- Patent Title: Dynamic building occupancy forecasting using non-personal real time data
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Application No.: US16815077Application Date: 2020-03-11
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Publication No.: US11181877B2Publication Date: 2021-11-23
- Inventor: Maharaj Mukherjee , Jennifer Cooper , Jigar Shah , Prasad G. Ravva , Veerandra S. Srivastava , Karthikeyan Natanasabapathy , Mohanraj Subramaniam
- Applicant: Bank of America Corporation
- Applicant Address: US NC Charlotte
- Assignee: Bank of America Corporation
- Current Assignee: Bank of America Corporation
- Current Assignee Address: US NC Charlotte
- Agency: Banner & Witcott, Ltd.
- Agent Michael A. Springs
- Main IPC: G05B19/042
- IPC: G05B19/042 ; F24F11/46 ; F24F11/64 ; F24F11/65 ; F24F140/60 ; F24F110/10 ; F24F120/12 ; F24F140/50

Abstract:
Aspects of the disclosure relate to using machine learning techniques for dynamic occupancy prediction. A computing platform may receive first data that is non-personalized and is associated with a first specific physical space, and may receive second data associated with a second specific physical space. The computing platform may normalize, for a common subspace of the first specific physical space and the second specific physical space, the first data and the second data. Using the normalized data, the computing platform may generate a predicted occupancy value for the common subspace. The computing platform may send commands directing a local HVAC control system, deployed at the common subspace, to perform a resource control action for the common subspace, which may cause the local HVAC control system to perform the resource control action for the common subspace.
Public/Granted literature
- US20210286333A1 Dynamic Building Occupancy Forecasting Using Non-Personal Real Time Data Public/Granted day:2021-09-16
Information query
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