Abstract: Systems and methods are disclosed herein for completely automated system for energy management.

Abstract: Systems and methods are disclosed herein for completely automated system for energy management. The system uses advanced mathematical concepts and learning algorithms replacing all static rules-based software, to create an advance AI functionality based on unique feature of energy management system where the proposed system takes massive amounts of data to a central location and analyzes it. The core of the invention can be divided into using of artificial intelligence to maximize the flow of energy through a building and the management of the thermal balance of a building using dynamic modulation to improve occupant comfort and energy efficiency. The system aims to produce a 60 percent improvement in occupant comfort, a 35 percent reduction in carbon footprint, and a 30 percent increase in energy savings by using AI to continuously make micro-adjustments to your existing HVAC system.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.

Abstract: Smart electricity monitors with unique identities placed at individual power outlets within a building communicate frequent power measurements to a service which determines, from this power usage data, which outlets are associated with occupied seats within the building. This occupancy information can be used to update an occupancy model for the building that is used to forecast the building's occupancy. Based on present occupancy, projected occupancy, and other data, in some instances, the building's thermostats can be controlled and unoccupied seats can be assigned dynamically.