Dynamic building occupancy forecasting using non-personal real time data

US11181877B2 · kind B2 · utility

Assignee

• Bank of America Corporation · US

Inventors

• Maharaj Mukherjee · Poughkeepsie, US
• Jennifer Cooper · Walnut Creek, US
• Jigar Shah · Coral Springs, US
• Prasad Ravva · South Plainfield, US
• Veerandra S. Srivastava · Plainsboro, US
• Karthikeyan Natanasabapathy · Viralimalai, IN
• Mohanraj Subramaniam · Plainsboro, US

Key dates

• Filing date: Mar 11, 2020
• Grant date: Nov 23, 2021
• Expiry date: Apr 3, 2040

Classification

• Technology area (CPC G): Physics
• CPC primary: G05B2219/2614
• WIPO field: Thermal processes and apparatus
• WIPO sector: Mechanical engineering

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.