The present invention discloses a distributed optimization method of regional integrated energy considering different building heating modes, comprising: based on a heating resistance and heat capacity network model, building an RIEDHS optimal scheduling model considering different building heating modes; by a coordination operator, initializing a Lagrange multiplier and global variable information and sending related information to an electricity sub-network and a heating sub-network which perform internal local optimization according to respective sub-problems and return coupling variable information to the coordination operator; and by the coordination operator, receiving the coupling variable information from the electricity sub-network and the heating sub-network, judging whether a convergence condition is met according to the coupling variable information and global variable information: ending the process if so, otherwise updating the Lagrange multiplier and a global variable, and re-executing the local optimization step until the convergence condition is met.

The present invention discloses a distributed optimization method of regional integrated energy considering different building heating modes, comprising: based on a heating resistance and heat capacity network model, building an RIEDHS optimal scheduling model considering different building heating modes; by a coordination operator, initializing a Lagrange multiplier and global variable information and sending related information to an electricity sub-network and a heating sub-network which perform internal local optimization according to respective sub-problems and return coupling variable information to the coordination operator; and by the coordination operator, receiving the coupling variable information from the electricity sub-network and the heating sub-network, judging whether a convergence condition is met according to the coupling variable information and global variable information: ending the process if so, otherwise updating the Lagrange multiplier and a global variable, and re-executing the local optimization step until the convergence condition is met.

An air conditioning system having a plurality of air conditioners installed in a predetermined place and an operation terminal to communicate with the air conditioners, wherein each of the air conditioners includes a first radio communication unit to send a beacon signal, the operation terminal includes a local terminal communication unit to receive two or more beacon signals send by two or more air conditioners of the air conditioners; a location presumption unit to presume a current location by using two or more radio wave intensities measured from each of the two or more beacon signals and a last location, the current location being a location in which the operation terminal is currently located, the last location being a location presumed last as a location of the operation terminal.

An air conditioning system having a plurality of air conditioners installed in a predetermined place and an operation terminal to communicate with the air conditioners, wherein each of the air conditioners includes a first radio communication unit to send a beacon signal, the operation terminal includes a local terminal communication unit to receive two or more beacon signals send by two or more air conditioners of the air conditioners; a location presumption unit to presume a current location by using two or more radio wave intensities measured from each of the two or more beacon signals and a last location, the current location being a location in which the operation terminal is currently located, the last location being a location presumed last as a location of the operation terminal.

A method includes obtaining an optimized setpoint schedule for a time period, identifying a pre-cooling or pre-heating segment of the time period of the optimized setpoint schedule, adjusting the optimized setpoint schedule based on a characteristic of the pre-cooling or pre-heating segment to obtain an adjusted setpoint schedule, and operating the building equipment in accordance with the adjusted setpoint schedule.

A method includes obtaining an optimized setpoint schedule for a time period, identifying a pre-cooling or pre-heating segment of the time period of the optimized setpoint schedule, adjusting the optimized setpoint schedule based on a characteristic of the pre-cooling or pre-heating segment to obtain an adjusted setpoint schedule, and operating the building equipment in accordance with the adjusted setpoint schedule.

An information processing apparatus incudes a schedule determination unit configured to determine a schedule of an operating status for causing a temperature of an air-conditioned space of each of a plurality of load-side units to reach a specified set temperature at a specified set time, based on a learning model representing an input-output relationship between input data indicating an influencing factor of a thermal load of each of the load-side units and output data indicating the thermal load.

An information processing apparatus incudes a schedule determination unit configured to determine a schedule of an operating status for causing a temperature of an air-conditioned space of each of a plurality of load-side units to reach a specified set temperature at a specified set time, based on a learning model representing an input-output relationship between input data indicating an influencing factor of a thermal load of each of the load-side units and output data indicating the thermal load.

A method of monitoring performance of a building system to control ambient conditions within the interior of a structure including: detecting a physiological condition of an individual within the interior of the structure; detecting an ambient condition within the interior of the structure; determining a user activity that is assigned to an area within the interior of the structure where the individual is located; and determining a wellness performance score of the area in response to at least the physiological condition, the ambient condition, and the user activity that is assigned to an area within the interior of the structure where the individual is located.

A method of monitoring performance of a building system to control ambient conditions within the interior of a structure including: detecting a physiological condition of an individual within the interior of the structure; detecting an ambient condition within the interior of the structure; determining a user activity that is assigned to an area within the interior of the structure where the individual is located; and determining a wellness performance score of the area in response to at least the physiological condition, the ambient condition, and the user activity that is assigned to an area within the interior of the structure where the individual is located.