Radiant heating systems for warming an occupant of an enclosed space. The system includes a component with a surface that faces the occupant. The surface defines an A-surface quality meaning the surface is visible and is designed with styling objectives to have an aesthetic appearance. Conductive strands are exposed at the surface and a power supply supplies electric power to the conductive strands. A controller controls the electric power supplied to the conductive strands.

The invention comprises systems and methods for evaluating changes in the operational efficiency of an HVAC system over time. The climate control system obtains temperature measurements from at least a first location conditioned by the climate system, and status of said HVAC system. One or more processors receives measurements of outside temperatures from at least one source other than said HVAC system and compares said temperature measurements from said first location with expected temperature measurements. The expected temperature measurements are based at least in part upon past temperature measurements.

The invention comprises systems and methods for evaluating changes in the operational efficiency of an HVAC system over time. The climate control system obtains temperature measurements from at least a first location conditioned by the climate system, and status of said HVAC system. One or more processors receives measurements of outside temperatures from at least one source other than said HVAC system and compares said temperature measurements from said first location with expected temperature measurements. The expected temperature measurements are based at least in part upon past temperature measurements.

The disclosure is related to an open-source environmental apparatus, system, and method of use. The apparatus may include a sensor module with one or more of temperature, humidity, carbon dioxide sensors for detecting environmental conditions. The apparatus may also include a light sensor for detecting light levels. A processor is used to gather the information and organize the data in an open-source accessible format and communicate it via a communication module. The sensors, processor, and communication module are housed in an enclosure the openings to allow airflow past the sensors. The system includes the apparatus and an environmental control system that has a computer in communication with the apparatus and several environmental regulation subsystems. The method may include using the apparatus to obtain environmental data and transmit it in an open-source accessible format.

Systems and methods for orchestrating the operation of energy-consuming loads, so as to minimize power consumption, are described. In some embodiments, the loads can be HVAC, refrigeration systems, air compressors, and the like, and orchestration is effected either directly or by means of the loads' respective controllers. In some aspects, the controllers can be Smart Thermostats and orchestration is effected through a Cloud-based orchestration platform or “COP.” In certain aspects, a COP uses specifically programmed application programming interfaces, or APIs, to control the operation of a single manufacturer's Smart Thermostats, where the manufacturer provides its own Cloud-based control platform, through which the COP operates. The COP can similarly orchestrate the operation of two or more manufacturers' Smart Thermostats through their respective Cloud-based control platforms. By these and other means, the operation of a variety of energy-consuming loads can be more easily and efficiently orchestrated.

An air conditioner is controlled according to one or more zones determined by artificial intelligence. The air conditioner includes a controller for generating first space classification data for dividing a space into two or more blowing zones based on human body sensing data generated by a vision module and an image, and a communication unit for transmitting the human body sensing data to a server and receiving second space classification data from the server. The controller is configured to control operation of the air conditioner based on comparing the first space classification data to the second space classification data and dividing the space into a concentrated blowing zone and a non-concentrated blowing zone.

A machine learning device learns a thermal sensation of a subject. The machine learning device includes a first acquisition unit, a second acquisition unit, and a learning unit. The first acquisition unit acquires a first variable including a parameter related to biological information of the subject. The second acquisition unit acquires a second variable including a thermal sensation of the subject. The learning unit learns the first variable and the second variable in association with each other.

Accessing an energy management policy for a plurality of devices is described, wherein the devices are coupled with a first structure. The energy usage of the devices is monitored. An energy usage rule and energy usage is then compared. The energy management policy and energy usage is also compared. Based on the comparing, an instruction is generated to modify an energy usage profile of said device to correlate with the energy usage rule associated with the devices and the energy management policy, thereby enabling efficient energy management.

The invention comprises systems and methods for evaluating changes in the operational efficiency of an HVAC system over time. The climate control system obtains temperature measurements from at least a first location conditioned by the climate system, and status of said HVAC system. One or more processors receives measurements of outside temperatures from at least one source other than said HVAC system and compares said temperature measurements from said first location with expected temperature measurements. The expected temperature measurements are based at least in part upon past temperature measurements.

Apparatus, systems, methods, and related computer program products for managing demand-response programs and events. The systems disclosed include an energy management system in operation with an intelligent, network-connected thermostat located at a structure. The thermostat controls an HVAC system to cool the structure using a demand response event implementation profile over the demand response event period. The thermostat can also receive a requested change to the setpoint temperatures defined by the demand response event implementation profile and access a determination of an impact on energy shifting that would result if the requested change is incorporated into the demand response event implementation profile. This determination can be communicated to the energy consumer.