Systems and techniques are described for monitoring energy use habits of consumers. In some implementations, a method includes obtaining temperature data from a monitored property. An energy model of the monitored property is generated based on the obtained temperature data. The current temperature data is obtained from the monitored property. The current temperature data is provided to the generated energy model to generate a duty-cycle for turning an HVAC system of the monitored property off an on during the on-peak hours. The HVAC system of the monitored property is instructed to cycle off and on during the on-peak hours based on the generated duty-cycle.

The subject matter of this specification can be embodied in, among other things, a method for time shifting when a cold storage facility is cooled that includes determining a thermal model of a cold storage facility, obtaining an energy cost model that describes a schedule of variable energy costs over a predetermined period of time in the future, determining an operational schedule for at least a portion of a refrigeration system based on the thermal model, the energy cost model, and a maximum allowed temperature, and powering on the portion the refrigeration system based on the operational schedule, cooling, by the powered portion of the refrigeration system to a temperature below the maximum allowed temperature, reducing power usage of the powered portion of the refrigeration system based on the operational schedule, and permitting the facility to be warmed by ambient temperatures toward the maximum allowed temperature.

A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

A method of compensating for temperature dependent Q factor variations in a wireless charger includes receiving, by the wireless charger, a reference Q factor value from a device to be charged. The method also includes the wireless charger determining a Q factor threshold value from the reference Q factor. The method further includes the wireless charger measuring a Q factor associated with a transmit coil of the wireless charger. The method also includes determining a temperature value. The method further includes applying a temperature compensation calculation to the measured Q factor using the temperature value to produce a temperature compensated Q factor. The method also includes comparing the temperature compensated Q factor with the Q factor threshold value. The method may also include compensation for temperature dependent internal power loss values.

The present disclosure relates to a climate management system having a control system configured to control climate characteristics of a building. The control system further includes a memory device and a processor. The memory device includes instructions that, when executed by the processor, cause the processor to receive, via a sensor, data indicative of an evaporator coil temperature of the climate management system, and operate an air mover of the climate management system to control supply of conditioned air to the building based on the evaporator coil temperature.

The subject matter of this specification can be embodied in, among other things, a method for time shifting when a cold storage facility is cooled that includes determining a thermal model of a cold storage facility, obtaining an energy cost model that describes a schedule of variable energy costs over a predetermined period of time in the future, determining an operational schedule for at least a portion of a refrigeration system based on the thermal model, the energy cost model, and a maximum allowed temperature, and powering on the portion the refrigeration system based on the operational schedule, cooling, by the powered portion of the refrigeration system to a temperature below the maximum allowed temperature, reducing power usage of the powered portion of the refrigeration system based on the operational schedule, and permitting the facility to be warmed by ambient temperatures toward the maximum allowed temperature.

A thermostat for a building zone includes at least one of a model predictive controller and an equipment controller. The model predictive controller is configured to obtain a cost function that accounts for a cost of operating HVAC equipment during each of a plurality of time steps, use a predictive model to predict a temperature of the building zone during each of the plurality of time steps, and generate temperature setpoints for the building zone for each of the plurality of time steps by optimizing the cost function subject to a constraint on the predicted temperature. The equipment controller is configured to receive the temperature setpoints generated by the model predictive controller and drive the temperature of the building zone toward the temperature setpoints during each of the plurality of time steps by operating the HVAC equipment to provide heating or cooling to the building zone.

A method of controlling a heating system includes: obtaining, from a power supply source, information specifying an output modulation period during which power consumption by a heat pump unit is to be reduced; and controlling, based on the information obtained in the obtaining, an amount of heat generated by the heat pump unit. In the controlling, the heat pump unit is caused to generate a first amount of heat per unit time in a period other than the output modulation period, and generate a second amount of heat per unit time during the output modulation period, the second amount of heat being less than the first amount of heat.

A thermostat my include a stored setpoint schedule, temperature sensors providing temperature sensor measurements; and a processing system configured to control an HVAC system based at least in part on the setpoint temperature and the temperature sensor measurements. The processing system may be configured to control the HVAC system by receiving an indication of a first time interval, where energy is available to the HVAC system at a first rate during the first time interval, energy is available to the HVAC system at a second rate during a second time interval that is outside of the first time interval, and the first rate is higher than the second rate; identifying a first one or more setpoints in the plurality of setpoints of the stored setpoint schedule that occur in the first time interval; and decreasing a temperature component of at least one of the first one or more setpoints.

An integrated demand control method for air conditioners disposed in areas includes receiving temperature of each of the areas, receiving control cancellation signal of each of the areas, storing, as cancellation temperature, the received temperature of each of the areas each time when the demand control cancellation signal is received, determining reference cancellation temperature of each of the areas according to distribution of the stored cancellation temperatures of each of the areas, setting higher demand control priority to each of the areas having smaller demand control allowable index, the demand control allowable index being difference between the temperature of each of the areas at a predetermined time point and the reference cancellation temperature of each of the areas.