- 专利标题: Dynamic Building Occupancy Forecasting Using Non-Personal Real Time Data
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申请号: US16815077申请日: 2020-03-11
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公开(公告)号: US20210286333A1公开(公告)日: 2021-09-16
- 发明人: Maharaj Mukherjee , Jennifer Cooper , Jigar Shah , Prasad G. Ravva , Veerandra S. Srivastava , Karthikeyan Natanasabapathy , Mohanraj Subramaniam
- 申请人: Bank of America Corporation
- 申请人地址: US NC Charlotte
- 专利权人: Bank of America Corporation
- 当前专利权人: Bank of America Corporation
- 当前专利权人地址: US NC Charlotte
- 主分类号: G05B19/042
- IPC分类号: G05B19/042 ; F24F11/46 ; F24F11/64 ; F24F11/65
摘要:
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.
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