An HVAC system includes an HVAC unit having a cooling mode and a heating mode for conditioning the air in an inside space, and a programmable thermostat located remotely from the HVAC unit. The HVAC unit may have an onboard controller configured to control when the HVAC unit is in the cooling mode or heating mode, and whether the HVAC unit is activated or not. In some cases, the onboard controller of the HVAC unit may use a common temperature setpoint when controlling in the cooling mode and the heating mode. The programmable thermostat may have a programmable schedule with a plurality of time periods, where each time period has a heating setpoint and a cooling setpoint separated by a dead band. The onboard controller of the HVAC unit may be configured to accept input signals from the remotely located thermostat. The remotely located thermostat may send one or more input signals to the onboard controller of the HVAC unit in accordance with the programmable schedule, where the one or more input signals cause the onboard controller of the HVAC unit to set the HVAC unit to a particular one of the cooling mode and the heating mode, and to activate the HVAC unit so as to condition the air in the inside space in the particular one of the cooling mode and the heating mode.

Apparatus, systems, methods, and related computer program products for carrying out a demand response (DR) event via an intelligent, network-connected thermostat associated with a structure. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat is operable to control an HVAC system. Control during a DR event period may be performed based on an optimal control trajectory of the HVAC system, where the control trajectory is optimal in that it minimizes a cost function comprising a combination of a first factor representative of a total energy consumption during the DR event period, a second factor representative of a metric of occupant discomfort, and a third factor representative of deviations of a rate of energy consumption over the DR event period.

Technologies for providing predictive thermal management include a compute device. The compute device includes a compute engine and an execution assistant device to assist the compute engine in the execution of a workload. The compute engine is configured to obtain a profile that relates a utilization factor indicative of a present amount of activity of the execution assistant device to a predicted temperature of the execution assistant device, determine, as the execution assistant device assists in the execution of the workload, a value of the utilization factor of the execution assistant device, determine, as a function of the determined value of the utilization factor and the obtained profile, the predicted temperature of the execution assistant device, determine whether the predicted temperature satisfies a predefined threshold temperature, and adjust, in response to a determination that the predicted temperature satisfies the predefined threshold temperature, an operation of the compute device to reduce the predicted temperature. Other embodiments are also described and claimed.

Disclosed are a method for controlling the temperature of a heating apparatus in an electrically-heated smoking system and an electrically-heated smoking system, the method includes: providing a constant or variable preset temperature value; outputting a constant current to a heating apparatus by a constant current source; and controlling an actual temperature of the heating apparatus to be maintained at a preset temperature, wherein the temperature control step comprises: obtaining a voltage value corresponding to the constant current at the two ends of the electrical heating apparatus; deriving the actual temperature value of the heating apparatus according to the voltage value; comparing the actual temperature value of the heating apparatus with the preset temperature; and maintaining the actual temperature value of the heating apparatus at the preset temperature by adjusting a heating power supply.

The disclosure relates to a method for controlling a heat distribution system. The method comprises: determining a time period of forecasted elevated overall outtake of heat from a district thermal energy distribution grid (110) by local heat distribution systems (150) connected to the district thermal energy distribution grid (110); determining, at a control sewer (130), a control signal associated with a respective one of a plurality of local control units (140), wherein each respective control signal is time resolved and comprises information pertaining to a temporary increase in heat outtake from the district thermal energy distribution grid (110) before the determined time period, and information pertaining to a temporary decrease in heat outtake from the district thermal energy distribution grid (110) during the determined time period; sending each respective control signal from the control sewer (130) to the respective local control unit (140); receiving the respective control signal at the respective local control unit (140); and regulating, at each respective local control unit (140) and based on the respective control signal, the outtake of heat by the respective local heat distribution system (150) from the district thermal energy distribution grid (110).

The systems and methods described herein relate to heating ventilation and air conditioning (HVAC) systems and water heating systems in relation to a building and residential automation system. Some embodiments of the systems and methods described herein relate to HVAC systems and water systems in relation to an integration of building or residential automation systems. Specifically, the disclosure relates to maintaining a desirable water temperature for a desirable time period. By reducing unnecessary heating of water, the systems disclosed herein may result in fewer wasted resources and a lower utility bill. In one embodiment, a method for security and/or automation systems may be disclosed. The method may comprise monitoring a status of a water heater and monitoring an occupancy status of a residence. The status of the water heater may adjust, automatically, based at least in part on the monitoring.

Provided is a user side load response method based on adjustment and control on temperature of load clusters. The user side load response method includes: performing thermodynamic modeling on a temperature control load to obtain a temperature control model in direct load control; constructing a mapping quantity to describe the change state of a temperature control load relay switch; obtaining adjustable capacity of the temperature control load through the mapping quantity; introducing temperature control load clusters to solve the problem that control precision cannot satisfy condition requirements; and finally calculating the influence of each load cluster in different load cluster control schemes on comfort degree.

Some embodiments include an appliance energy source supply system for an energy source supply appliance. The appliance energy source supply system can comprise a first thermal control device and a second thermal control device. The appliance energy source supply system can be configured so that a hydrogen fuel energy source is selectively received by one of the first thermal control device or the second thermal control device before the hydrogen fuel energy source is made available to a receiver vehicle. Other embodiments of related systems, devices, and methods also are provided.

An electronic device and method of operating an electronic device are provided. The electronic device includes a temperature measurement unit configured to measure a temperature of each of multiple components of the electronic device, and a controller configured to change, based on a first reference temperature, an operating frequency of the controller to a first operating frequency when a temperature of the controller, measured by the temperature measurement unit, reaches the first reference temperature and change, based on a third reference temperature that is lower than the first reference temperature, the operating frequency of the controller to a second operating frequency when a temperature of at least one component of the multiple components reaches a second reference temperature while the controller operates at the first operating frequency.

A system includes a plurality of thermostats corresponding to a plurality of HVAC systems that serve a plurality of spaces and a computing system communicable with the plurality of thermostats via a network. The computing system is configured to, for each space of the plurality of spaces, obtain a set of training data relating to thermal behavior of the space, identify a model of thermal behavior of the space based on the set of training data, perform a model predictive control process using the model of thermal behavior of the space to obtain a temperature setpoint for the space, and provide the temperature setpoint to the thermostat corresponding to the HVAC system serving the space. The plurality of thermostats are configured to control the plurality of HVAC systems in accordance with the temperature setpoints.