Abstract: A method includes selectably controlling a power supply from a renewable energy source based power system and an energy storage device charged thereby and/or an Alternating Current (AC) power system to a computing system including one or more data processing device(s) using an electronic control system, and continuously updating, through a computing power management system associated with the electronic control system, a parameter of operation of the energy storage device in response to analyzing data pertinent to prior energy usage/production and/or predicted energy usage/production relevant to execution of a high computational workload through the one or more data processing device(s). The method also includes optimizing the power supply from the energy storage device to the one or more data processing device(s) using the computing power management system based on the continuously updated parameter of operation of the energy storage device.

Abstract: Aspects of the present disclosure include methods, systems, and non-transitory computer readable media for receiving at least one calibration heat signal from a calibration device, wherein the at least one calibration heat signal corresponds to a calibration temperature known to the controller, receiving a plurality of heat signals from a plurality of sources in the building, determining a plurality of temperatures associated with the plurality of heat signals based on the at least one calibration heat signal and the calibration temperature, determining an internal target temperature of the building based on the plurality of temperatures, and transmitting, to the HVAC system, a control signal indicating the internal target temperature.

Abstract: A method includes selectably controlling a power supply from a solar Direct Current (DC) power system and an Alternating Current (AC) power system to a computing system including one or more data processing device(s) using an electronic control system, and continuously updating, through a computing power management system associated with the electronic control system, a power consumption requirement of execution of a high computational workload through the one or more data processing device(s) based on analyzing prior energy usage/production and/or predicted energy usage/production relevant to the execution of the high computational workload. The method also includes optimizing the power supply from the solar DC power system to the one or more data processing device(s) using the computing power management system based on the continuously updated power consumption requirement of the execution of the high computational workload.

Abstract: Provided are an air-conditioning system, a data transmission method and apparatus, and a non-transitory computer storage medium. A centralized air-conditioning controller, at least one air conditioner, and at least one environmental information collection module are provided.

Abstract: A method for controlling a smart plug of a home system, a smart plug, and a home system. The method includes acquiring conditions of currently running household appliances accessing sockets and setting the priority sequence of the currently running household appliances according to the conditions of the currently running household appliances accessing the sockets. Household appliances accessing different sockets of a smart plug can have a priority sequence, and therefore, a user can rank the priorities of a plurality of household appliances by means of the smart plug and can flexibly adjust the priority sequence according to usage habits, thereby not only facilitating integrated management of usage conditions, power consumption conditions and running states of the plurality of household appliances, but also ensuring the flexibility of setting the priority sequence, such that the entire running condition of a home system is more adapted to real-time usage requirements of the user.

Abstract: A system is disclosed for controlling controllable elements of an external component. The system uses a state translator subsystem (“STS”) which receives a state command from an external subsystem. The STS has at least one module for processing the state command and generating operational commands, in parallel, over a first plurality of channels, to control the elements of the external component. A programmable calibration command translation layer subsystem (“PCCTL”) uses the operational commands to generate granular level commands for controlling the elements, and to transmit the granular level commands over a second plurality of channels. A subsystem is coupled between the PCCTL and the elements, which receives the commands from the PCCTL and uses the commands to generate final output commands, which are applied in parallel, over a third plurality of channels, to the elements.

Abstract: 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.

Abstract: A method includes selectably controlling a power supply from a renewable energy source based power system and an energy storage device charged thereby and/or an Alternating Current (AC) power system to a computing system including one or more data processing device(s) and a set of loads using an electronic control system, and continuously updating, through a computing power management system associated with the electronic control system, a parameter of operation of the one or more data processing device(s) and/or the set of loads in response to analyzing data pertinent to prior energy usage/production and/or predicted energy usage/production relevant to execution of a high computational workload through the one or more data processing device(s). The method also includes optimizing the power supply from the renewable energy source based power system and/or the energy storage device to the one or more data processing device(s) based on the continuously updated parameter of operation.

Abstract: An electronic apparatus is provided. The electronic apparatus includes a communication interface, a memory, and a processor. The processor according to the disclosure is configured to acquire weather information and information on a space where an air conditioner is installed, train a neural network model based on the weather information and the information on the space, based on acquiring driving information of the air conditioner and a measured temperature of the space through the communication interface, input the measured temperature of the space and the external temperature into the neural network model and acquire predicted temperature information per time for the space, determine whether a defect exists in the air conditioner based on the predicted temperature information and the measured temperature of the space, and based on determining that a defect exists in the air conditioner, generate a notification signal.

Abstract: A refrigerator for recognizing an object to be stored and automatically opening a door based on the recognized object, and a method therefor are provided. The refrigerator includes a main body, at least two doors provided on a front surface of the main body, two or more storage rooms provided in the main body or the at least two doors and configured to store objects, a cooler configured to cool the two or more storage rooms, a door driver configured to generate power for automatically opening and closing the at least two doors, a camera configured to photograph an image of surroundings around the at least two doors, and at least one processor configured to, in the case in which an object is recognized from the image of the surroundings, transmit a control signal for opening a door to the door driver based on the recognized object.

Abstract: A zone board for a heating, ventilation, and air-conditioning (HVAC) system including: a controller connector configured to electrically connect a controller to the zone board, the controller being configured to control operation of the HVAC system; a unit connector configured to electrically connect an indoor air handler to the zone board; and a thermostat connector configured to electrically connect a thermostat in a first zone to the zone board, wherein the thermostat connector is a 24-volt printed circuit board connector.

Abstract: A method for operating a redundant automation system for controlling a technical process in which two-out-of-three system with three subsystems are operated, wherein a comparator is cyclically operated in each subsystem and compares the first, second and third output data with one another, and a respective comparator is operated such that, during each comparison in which the result is that all output data are approximately the same, no further action is performed, and during a comparison in which deviations between the output data are determined, that subsystem in which the deviations of its own output data from the other output data are the greatest is identified as faulty via a majority decision.

Abstract: A temperature controller (1) for a temperature control mechanism (M) arranged for heating of a device (2) is described. The temperature controller (1), includes an input (3) for a temperature signal (Y), an output (4) for a control signal U for controlling the temperature controller, and a first control loop mechanism (CLM1) can output a first predicted temperature ({tilde over (X)}) of the gas surrounding the device. The temperature controller also includes a first model ({tilde over (S)}) of the thermal properties of the device, a second model ({tilde over (M)}) of the thermal properties of the device, and a second control loop mechanism (CLM2) can output the control signal (U).

Abstract: A distributed metering device and method based on a matching coefficient, wherein the room temperature is regulated by means of an on-off controller according to an on-off time area method based heat metering device, and heat meter for the building is distributed to heat consumers according to a ratio of the on-off control valve opening cumulative time, the building area and the radiator power to a design heat load; or multiplying the ratio of heat meter reading of each household divided by heat load per unit area of each household to heat reading of a heat meter of each household of the entire building divided by the sum of the heat load per unit area of each household by the heat meter reading of a settlement point as the user's shared heat according to a heat meter method based household metering device.

Abstract: An extremum seeking control system and a method for controlling a system is provided. The method comprises receiving a tracking error, consecutive measurements of a system output, and consecutive measurements of a cost function of the system, and estimating a gradient based on the tracking error, the consecutive measurements of the system output, and the consecutive measurements of the cost function of the system. The method further comprises determining a step-size based on a ratio of a covariance of the gradient to the gradient, and determining a set-point optimizing performance of the system, based on the gradient and the step-size. The method further comprises controlling the system based on the set-point optimizing performance of the system.

Abstract: A condenser fan assembly includes a first condenser fan and a first motor coupled to the first condenser fan via a first shaft, where the first motor is configured to drive rotation of the first condenser fan via the first shaft, and a second condenser fan and a second motor coupled to the second condenser fan via a second shaft, where the second motor is configured to drive rotation of the second condenser fan via the second shaft. The condenser fan assembly also includes a fan rotation restrictor configured to selectively block and enable rotation of the first shaft.

Abstract: A method is provided for controlling an HVAC system. The method includes receiving zone priority levels and zone temperature setpoints, where at least one of the zones haves a higher priority level than others of the zones, receiving an indication of zone ambient temperature values, determining requested zone capacity values to maintain the zone ambient temperature values within a threshold deviation of respective ones of the zone temperature setpoints, determining target zone capacity values from the requested zone capacity values and zone size values, and from the zone priority levels where the target zone capacity values may be responsive to a total of the requested zone capacity values that is less than a minimum capacity or greater than a maximum capacity of the HVAC system, and causing the HVAC system to provide the conditioned air to the zones according to respective ones of the target zone capacity values.

Abstract: An air conditioning system includes: a sensor; an obtainer that obtains information indicating air quality in an indoor space, which is output by the sensor; and a controller that calculates an air quality index based on the information obtained, and controls a ventilator, based on the air quality index calculated. The air quality index is expressed by f(Xn)×g(T, H), where f(Xn) denotes a function with respect to Xn that indicates at least one of a CO2 concentration, a concentration of total volatile organic compounds (TVOC), a concentration of particulate matter (PM), an NOX concentration, an SOX concentration, an O3 concentration, a mold count, or a dust count, and g(T, H) denotes a function with respect to T denoting temperature and H denoting humidity in the indoor space.

Abstract: A machine learning apparatus determines an operation condition of a precooling operation or preheating operation of an air conditioner. The machine learning apparatus includes an acquisition unit and a learning unit. The acquisition unit acquires, as state variables, room temperature data at a time of the precooling operation or preheating operation, set temperature data, and outside air temperature data. The learning unit learns the operation condition of the precooling operation or preheating operation based on the state variables, a room temperature after start of the precooling operation or preheating operation, and a set temperature.

Abstract: An environmental control system for a building is shown. The system includes a control device operable affect a static pressure in a conduit, a building device operable to affect a flow rate of a fluid through the conduit, and a controller including a processing circuit configured to perform a volumetric control process to generate a control signal for the drive device. The processing circuit is further configured to receive an operating position signal of the control device. The processing circuit is further configured to determine an estimated static pressure level within the duct using the operating position signal of the control device and update the control signal based on the estimated static pressure level determined using the operating position. The processing circuit is further configured to operate the drive device based on the updated control signal to affect the flow rate of the fluid.